After analyzing the relationship between the feature "n_p_ecg_p_06" and the task of determining if the patient shows chronic heart failure, we can proceed to create the dictionary. Since the feature "n_p_ecg_p_06" represents the presence or absence of third-degree AV block on ECG at the time of admission to the hospital, we can assume that if the value is "yes", it is indicative of a higher likelihood of chronic heart failure.

Based on this analysis, the dictionary for the relationship between the feature and the task will be as follows:

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

As there are only two possible categories for the feature "n_p_ecg_p_06" - "no" and "yes" - we include both categories in the dictionary. The category "no" is present in the target class "no", and the category "yes" is present in the target class "yes".