Based on prior knowledge, we can analyze the relationship between the feature "zab_leg_04" (Chronic pneumonia in the anamnesis) and the task of determining if the myocardial infarction complications data shows chronic heart failure.

To analyze the relationship, we can look at the potential values of "zab_leg_04" for each target class ("no" and "yes").

Possible values of "zab_leg_04" for "no" class:
- 'no'

Possible values of "zab_leg_04" for "yes" class:
- 'yes'

Now we can create the dictionary with the analysis results:

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

Note: As requested, we only included the possible values of "zab_leg_04" that correspond to each target class, to ensure that each list is not empty.