Based on prior knowledge, we need to analyze the relationship between the feature "zab_leg_03" (Bronchial asthma in the anamnesis) and the presence of chronic heart failure as the target variable.

To analyze this relationship, we can start by grouping the patients based on the feature "zab_leg_03" and examining whether there are differences in the prevalence of chronic heart failure for each group.

Here is the generated dictionary:

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

From the available data, we can observe that the feature "zab_leg_03" only has two categories: "no" and "yes". In this case, there is no ambiguity in predicting the presence of chronic heart failure based on the feature "zab_leg_03". If a patient has the value "no" for the feature, it indicates that they do not have bronchial asthma in the anamnesis, and if they have the value "yes", it indicates that they do have bronchial asthma in the anamnesis.

Please note that if there were additional categories or if the feature was not as straightforward in its relationship to the target variable, we would have included the relevant values in the dictionary to provide a more comprehensive analysis.