Based on prior knowledge, chronic pneumonia in the patient's medical history could potentially be associated with the development of chronic heart failure. To analyze the relationship between the feature "zab_leg_04" (Chronic pneumonia in the anamnesis) and the target variable of chronic heart failure, let's examine how the values of "zab_leg_04" distribute across the two target classes: "no" and "yes" for chronic heart failure.

To create the dictionary, we need to identify the possible values of "zab_leg_04" for each target class. 

Here is the dictionary:

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

Explanation:
- For patients without chronic heart failure (target class "no"), the possible value of "zab_leg_04" is "no".
- For patients with chronic heart failure (target class "yes"), the possible values of "zab_leg_04" are "no" (indicating that the patient had chronic pneumonia in the past) and "yes" (indicating that the patient still has chronic pneumonia).

Note: In this case, we only include the possible values that are important for the task and do not include any hard-to-predict values of "zab_leg_04".