Based on prior knowledge, we can analyze the relationship between the feature "FIB_G_POST" and the task of determining if the patient shows chronic heart failure.

The "FIB_G_POST" feature represents whether the patient had ventricular fibrillation at the time of admission to the intensive care unit. 

To analyze the relationship, we can compare the occurrences of ventricular fibrillation in patients with and without chronic heart failure.

After analyzing the data, let's create the dictionary:

```json
{
	"no": ["no"],  
	"yes": ["no", "yes"]  
}
```

Explanation:
- For the value of the target class "no" (indicating no chronic heart failure), patients can only have a value of "no" for the "FIB_G_POST" feature.
- For the value of the target class "yes" (indicating chronic heart failure), patients can have values of both "no" and "yes" for the "FIB_G_POST" feature.

Note: As per your requirement, the list for each target class is not empty.