Based on prior knowledge, we can analyze the relationship between the feature "GEPAR_S_n" and the task of determining whether the myocardial infarction complications data of this patient show chronic heart failure. The feature "GEPAR_S_n" represents the use of anticoagulants in the ICU and is a categorical variable with categories 'yes' and 'no'.

To analyze the relationship, we can examine the distribution of the feature values for each target class, i.e., whether the patient has chronic heart failure or not.

Here is the generated dictionary for the given feature and task:

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

This dictionary shows the possible values of the feature "GEPAR_S_n" for each target class. In this case, both target classes have the same possible values: 'yes' and 'no'.