Based on prior knowledge, it is difficult to determine a direct relationship between the feature "zab_leg_06" (Pulmonary tuberculosis in the anamnesis) and the presence of chronic heart failure. However, we can still analyze the relationship by looking at the distribution of the feature values for each target class.

Here is the analysis:

- For the target class "no" (indicating no chronic heart failure), the possible values of the feature "zab_leg_06" are: ['no', 'yes'].

- For the target class "yes" (indicating chronic heart failure), the possible values of the feature "zab_leg_06" are: ['no', 'yes'].

Based on the analysis, it can be observed that the feature "zab_leg_06" does not provide substantial information to determine the presence of chronic heart failure. Both target classes have the same set of possible values for this feature.

Based on this analysis, here is the corresponding dictionary:

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

Please note that the dictionary includes all the possible values of the feature "zab_leg_06" for both target classes, as stated in the requirements.