Based on my prior knowledge, the feature "np_05" (LBBB - anterior branch in the anamnesis) may have a relationship with chronic heart failure in patients who have experienced myocardial infarction complications. However, without specific data or a dataset, I cannot provide a comprehensive analysis of the relationship between the feature and the task.

To create the dictionary, I will assume that if the feature value is "no" and the patient has experienced myocardial infarction complications, then it implies the absence of chronic heart failure. On the other hand, if the feature value is "yes" for patients with myocardial infarction complications, it may indicate the presence of chronic heart failure.

Considering these assumptions, here is a sample dictionary:

```json
{
	"no": ["no"],
	"yes": ["yes"]
}
```
Since "np_05" is a categorical feature, it is important to include all possible values for each target class. In this case, the values are "no" and "yes".