Based on my prior knowledge, premature ventricular contractions in the anamnesis (nr_02) can potentially be related to chronic heart failure. 

To analyze the relationship between the feature and the target variable (chronic heart failure), we need access to the dataset containing the myocardial infarction complications data of the patient. Without that information, it is difficult to provide a specific analysis.

However, assuming we have access to the dataset, we can analyze the relationship by comparing the frequency of different values of nr_02 for each class of chronic heart failure (yes and no). By doing so, we can observe if certain values of nr_02 are more associated with chronic heart failure.

Here is a possible dictionary based on the relationship analysis:

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

Please note that this dictionary assumes that only two possible values exist for the feature nr_02: "no" and "yes". If there are additional values, the dictionary can be updated accordingly.

Without access to the actual dataset, it is challenging to provide a more comprehensive analysis or include all possible values.