## Step 1: Define the symbolic representation of the variables
The variables are 'blueberry pies', 'steaks', 'chicken drumsticks', and 'oreos', which can be represented symbolically as $x_0$, $x_1$, $x_2$, and $x_3$ respectively.

## Step 2: Convert the objective function into a symbolic representation
The objective function to maximize is $2.01x_0^2 + 5.65x_0x_1 + 1.91x_0x_3 + 7.05x_1^2 + 6.82x_1x_2 + 2.36x_1x_3 + 7.51x_2^2 + 4.68x_3^2 + 7.09x_0 + 3.26x_1 + 1.66x_2$.

## Step 3: List the constraints in symbolic notation
The constraints are:
- $14x_0 + 2x_1 + 9x_2 + 2x_3 \leq 229$ (carbohydrates upper bound)
- $20x_0 + 14x_1 + 14x_2 + x_3 \leq 163$ (healthiness rating upper bound)
- $2x_1 + 2x_3 \geq 35$ (carbohydrates from steaks and oreos)
- $14x_0 + 9x_2 \geq 45$ (carbohydrates from blueberry pies and chicken drumsticks)
- $14^2x_0^2 + 2^2x_3^2 \geq 31$ (carbohydrates from blueberry pies squared and oreos squared)
- $2x_1 + 9x_2 + 2x_3 \geq 46$ (carbohydrates from steaks, chicken drumsticks, and oreos)
- $14^2x_0^2 + 9^2x_2^2 + 2^2x_3^2 \geq 46$ (carbohydrates from blueberry pies squared, chicken drumsticks squared, and oreos squared)
- $2x_1 + 9x_2 + 2x_3 \geq 37$ (carbohydrates from steaks, chicken drumsticks, and oreos)
- $14^2x_0^2 + 9^2x_2^2 + 2^2x_3^2 \geq 37$ (carbohydrates from blueberry pies squared, chicken drumsticks squared, and oreos squared)
- $14x_1 + x_3 \geq 20$ (healthiness rating from steaks and oreos)
- $20x_0 + 14x_2 \geq 28$ (healthiness rating from blueberry pies and chicken drumsticks)
- $20^2x_0^2 + 14^2x_1^2 \geq 17$ (healthiness rating from blueberry pies squared and steaks squared)
- $14x_1 + 14x_2 \geq 38$ (healthiness rating from steaks and chicken drumsticks)
- $2x_1 + 2x_3 \leq 93$ (carbohydrates from steaks and oreos upper bound)
- $14x_0 + 2x_1 \leq 209$ (carbohydrates from blueberry pies and steaks upper bound)
- $14x_0 + 2x_1 + 9x_2 + 2x_3 \leq 209$ (carbohydrates from all upper bound)
- $20^2x_0^2 + 14^2x_2^2 \leq 91$ (healthiness rating from blueberry pies squared and chicken drumsticks squared upper bound)
- $14^2x_2^2 + x_3^2 \leq 60$ (healthiness rating from chicken drumsticks squared and oreos squared upper bound)
- $14x_1 + 14x_2 \leq 135$ (healthiness rating from steaks and chicken drumsticks upper bound)
- $20^2x_0^2 + 14^2x_1^2 \leq 83$ (healthiness rating from blueberry pies squared and steaks squared upper bound)
- $14^2x_1^2 + 14^2x_2^2 + x_3^2 \leq 122$ (healthiness rating from steaks squared, chicken drumsticks squared, and oreos squared upper bound)
- $20x_0 + 14x_1 + 14x_2 + x_3 \leq 122$ (healthiness rating from all upper bound)

## 4: Define the symbolic representation of the problem
```json
{
    'sym_variables': [
        ('x0', 'blueberry pies'),
        ('x1', 'steaks'),
        ('x2', 'chicken drumsticks'),
        ('x3', 'oreos')
    ],
    'objective_function': '2.01*x0^2 + 5.65*x0*x1 + 1.91*x0*x3 + 7.05*x1^2 + 6.82*x1*x2 + 2.36*x1*x3 + 7.51*x2^2 + 4.68*x3^2 + 7.09*x0 + 3.26*x1 + 1.66*x2',
    'constraints': [
        '14*x0 + 2*x1 + 9*x2 + 2*x3 <= 229',
        '20*x0 + 14*x1 + 14*x2 + x3 <= 163',
        '2*x1 + 2*x3 >= 35',
        '14*x0 + 9*x2 >= 45',
        '14^2*x0^2 + 2^2*x3^2 >= 31',
        '2*x1 + 9*x2 + 2*x3 >= 46',
        '14^2*x0^2 + 9^2*x2^2 + 2^2*x3^2 >= 46',
        '2*x1 + 9*x2 + 2*x3 >= 37',
        '14^2*x0^2 + 9^2*x2^2 + 2^2*x3^2 >= 37',
        '14*x1 + x3 >= 20',
        '20*x0 + 14*x2 >= 28',
        '20^2*x0^2 + 14^2*x1^2 >= 17',
        '14*x1 + 14*x2 >= 38',
        '2*x1 + 2*x3 <= 93',
        '14*x0 + 2*x1 <= 209',
        '14*x0 + 2*x1 + 9*x2 + 2*x3 <= 209',
        '20^2*x0^2 + 14^2*x2^2 <= 91',
        '14^2*x2^2 + x3^2 <= 60',
        '14*x1 + 14*x2 <= 135',
        '20^2*x0^2 + 14^2*x1^2 <= 83',
        '14^2*x1^2 + 14^2*x2^2 + x3^2 <= 122',
        '20*x0 + 14*x1 + 14*x2 + x3 <= 122'
    ]
}
```

## 5: Write the Gurobi code
```python
import gurobi

# Create a new model
m = gurobi.Model()

# Define the variables
x0 = m.addVar(name='blueberry_pies', vtype=gurobi.GRB.INTEGER)  # integer
x1 = m.addVar(name='steaks')  # continuous
x2 = m.addVar(name='chicken_drumsticks', vtype=gurobi.GRB.INTEGER)  # integer
x3 = m.addVar(name='oreos')  # continuous

# Define the objective function
m.setObjective(2.01*x0**2 + 5.65*x0*x1 + 1.91*x0*x3 + 7.05*x1**2 + 6.82*x1*x2 + 2.36*x1*x3 + 7.51*x2**2 + 4.68*x3**2 + 7.09*x0 + 3.26*x1 + 1.66*x2, gurobi.GRB.MAXIMIZE)

# Add constraints
m.addConstr(14*x0 + 2*x1 + 9*x2 + 2*x3 <= 229)
m.addConstr(20*x0 + 14*x1 + 14*x2 + x3 <= 163)
m.addConstr(2*x1 + 2*x3 >= 35)
m.addConstr(14*x0 + 9*x2 >= 45)
m.addConstr(14**2*x0**2 + 2**2*x3**2 >= 31)
m.addConstr(2*x1 + 9*x2 + 2*x3 >= 46)
m.addConstr(14**2*x0**2 + 9**2*x2**2 + 2**2*x3**2 >= 46)
m.addConstr(2*x1 + 9*x2 + 2*x3 >= 37)
m.addConstr(14**2*x0**2 + 9**2*x2**2 + 2**2*x3**2 >= 37)
m.addConstr(14*x1 + x3 >= 20)
m.addConstr(20*x0 + 14*x2 >= 28)
m.addConstr(20**2*x0**2 + 14**2*x1**2 >= 17)
m.addConstr(14*x1 + 14*x2 >= 38)
m.addConstr(2*x1 + 2*x3 <= 93)
m.addConstr(14*x0 + 2*x1 <= 209)
m.addConstr(14*x0 + 2*x1 + 9*x2 + 2*x3 <= 209)
m.addConstr(20**2*x0**2 + 14**2*x2**2 <= 91)
m.addConstr(14**2*x2**2 + x3**2 <= 60)
m.addConstr(14*x1 + 14*x2 <= 135)
m.addConstr(20**2*x0**2 + 14**2*x1**2 <= 83)
m.addConstr(14**2*x1**2 + 14**2*x2**2 + x3**2 <= 122)
m.addConstr(20*x0 + 14*x1 + 14*x2 + x3 <= 122)

# Solve the model
m.optimize()

# Print the solution
if m.status == gurobi.GRB.OPTIMAL:
    print('Objective: ', m.objVal)
    print('Blueberry pies: ', x0.varValue)
    print('Steaks: ', x1.varValue)
    print('Chicken drumsticks: ', x2.varValue)
    print('Oreos: ', x3.varValue)
else:
    print('No optimal solution found')
```