Based on the given feature "zab_leg_03" which represents "Bronchial asthma in the anamnesis", we need to determine if it shows chronic heart failure. To analyze the relationship between this feature and the target variable, we can inspect the values of feature "zab_leg_03" for each target class.

To create the dictionary, we need to find the possible values of feature "zab_leg_03" for each target class. Let's assume the target class for chronic heart failure is 'yes'.

Here is the analysis:

- For the target class 'no' (without chronic heart failure), the possible values of the feature "zab_leg_03" can be:
  - "no": As there is no chronic heart failure, it is possible that the patient has no history of bronchial asthma in the anamnesis.
  - Other values not specified in the given description are hard to predict, so we won't include them in the dictionary.

- For the target class 'yes' (with chronic heart failure), the possible values of the feature "zab_leg_03" can be:
  - "yes": As there is chronic heart failure, it is possible that the patient has a history of bronchial asthma in the anamnesis.
  - Other values not specified in the given description are hard to predict, so we won't include them in the dictionary.

Based on this analysis, we can create the dictionary in the required format:

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