Based on prior knowledge, we can analyze the relationship between the feature "zab_leg_01" (chronic bronchitis in the anamnesis) and the presence of chronic heart failure in myocardial infarction complications data.

The feature "zab_leg_01" represents whether the patient has a history of chronic bronchitis. To determine if this feature is related to chronic heart failure, we need to analyze the distribution of values for "zab_leg_01" in different classes of chronic heart failure (yes, no).

To do this, we can look at the data and identify the different values of "zab_leg_01" for each class of chronic heart failure. We can then summarize these values in a dictionary to indicate the possible values of "zab_leg_01" for each class.

Based on this analysis, the dictionary would look like:

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

In this case, we only have one possible value "no" for the "no" class of chronic heart failure. For the "yes" class, we have both "no" and "yes" as possible values for "zab_leg_01".

Please note that the values "no" and "yes" represent the possible values of feature "zab_leg_01" and are presented as strings in the lists.