From the given feature description, we have a categorical variable called "zab_leg_02" that represents the presence or absence of chronic bronchitis in the patient's medical history. The task is to determine whether the patient's myocardial infarction complications data indicates chronic heart failure.

To analyze the relationship between the feature "zab_leg_02" and the task, we can consider the potential associations between chronic bronchitis and chronic heart failure. Chronic bronchitis is a respiratory condition characterized by inflammation and irritation in the bronchial tubes, whereas chronic heart failure refers to the heart's inability to pump efficiently.

Although chronic bronchitis and chronic heart failure are distinct conditions affecting different organs, they can still be related in certain cases. Both conditions can arise due to long-term exposure to risk factors like smoking and can occur simultaneously in some patients due to shared risk factors. Chronic bronchitis can lead to respiratory problems that worsen cardiovascular health, potentially contributing to chronic heart failure.

Therefore, it is possible that patients with chronic bronchitis in their medical history (zab_leg_02 = "yes") may have a higher likelihood of developing chronic heart failure if they also have myocardial infarction complications.

Based on this analysis, we can create the following dictionary:

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

Explanation: Since the feature "zab_leg_02" represents the presence or absence of chronic bronchitis in the patient's medical history, there are only two possible values: "no" and "yes". In this case, we include the respective values within lists for both target classes ("no" and "yes"). Although the feature does not provide explicit insight into the presence or absence of chronic heart failure, we include all possible values of "zab_leg_02" for completeness.