Sure, let's create a test case generator for the given problem statement "Cabbage". The generator will produce random values for the parameters \(N\), \(M\), \(A\), \(B\), and the list \(D\).

Here's the Python code for the test case generator:

```python
import random

def tcgen():
    # Generate a random value for N within the constraint 1 ≤ N ≤ 1000
    N = random.randint(1, 1000)
    
    # Generate a random value for M within the constraint 0 ≤ M ≤ N
    M = random.randint(0, N)
    
    # Generate random values for A and B where 1 ≤ A ≤ B ≤ 1000
    A = random.randint(1, 1000)
    B = random.randint(A, 1000)
    
    # Generate a list D of size N where each element is within the constraint 1 ≤ D[i] ≤ 1000
    D = [random.randint(1, 1000) for _ in range(N)]
    
    return N, M, A, B, D

# Function to format the generated test case in the required input format
def format_test_case(N, M, A, B, D):
    return f"{N} {M} {A} {B}\n" + " ".join(map(str, D))

# Generate a test case
N, M, A, B, D = tcgen()
print(format_test_case(N, M, A, B, D))
```

Explanation:
1. **Random Values Generation**:
    - \(N\) is generated randomly between 1 and 1000.
    - \(M\) is generated randomly between 0 and \(N\).
    - \(A\) is generated randomly between 1 and 1000.
    - \(B\) is generated randomly between \(A\) and 1000, ensuring \(A \leq B\).
    - \(D\) is a list of \(N\) integers, each randomly generated between 1 and 1000.

2. **Formatting**:
    - The `format_test_case` function formats the generated values into the specified input format for the problem.

You can run the code to generate different test cases for the problem statement. Each run will produce a new test case with random values adhering to the constraints provided in the problem statement.