Based on my prior knowledge, there is a potential relationship between the feature "n_p_ecg_p_03" (First-degree AV block on ECG at the time of admission to the hospital) and the occurrence of chronic heart failure as a myocardial infarction complication.

To analyze the relationship, we can look at the distribution of the feature values for each target class (complications of chronic heart failure - yes or no).

Here is the dictionary with the requested details:

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

Since the feature "n_p_ecg_p_03" is a categorical variable with categories of "no" and "yes," the values for both target classes are explicitly mentioned.

Please note that the provided feature only has two distinct categories, "no" and "yes." If there are other possible values for the feature that are not mentioned, they can be excluded from the dictionary.

However, it is essential to analyze other features as well, as they might provide more insights into predicting chronic heart failure.