Based on prior knowledge, a third-degree AV block on ECG at the time of admission to the hospital can be an indicator of chronic heart failure. However, it is important to conduct a thorough analysis to confirm this relationship.

To analyze the relationship between the n_p_ecg_p_06 feature and the presence of chronic heart failure, we can examine the distribution of the feature values across the two target classes (yes and no) in the myocardial infarction complications data.

Here is the dictionary generated based on the analysis:

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

Since the n_p_ecg_p_06 feature only has two distinct categories ("no" and "yes"), the values for each target class are straightforward. The "no" category represents the absence of a third-degree AV block on ECG, while the "yes" category represents the presence of a third-degree AV block on ECG. Therefore, the dictionary lists the corresponding values for each target class.

Note: It is possible that there are other values in the dataset for the feature n_p_ecg_p_06 that are not captured in this dictionary. However, as per the task requirements, it is not necessary to include them in the dictionary as long as the list for each target class is not empty.