Based on my prior knowledge and analysis, there is a possibility that the feature "nr_02" may have a relationship with the occurrence of chronic heart failure. 

To create the dictionary, I will need to analyze the distribution of the "nr_02" feature for each target class. By looking at the data, I will take note of the possible values of "nr_02" for each target class.

Here is the dictionary for the relationship between the "nr_02" feature and the occurrence of chronic heart failure:

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

Based on the provided feature description, it seems that the only possible value for the "nr_02" feature is "yes" or "no". Therefore, for the target class "no", the possible values of the "nr_02" feature are only "no". Similarly, for the target class "yes", the possible values of the "nr_02" feature are only "yes".

Please note that if there are additional possible values for the "nr_02" feature that were not mentioned in the feature description, further analysis would be required to determine their relationship with the occurrence of chronic heart failure.