Based on prior knowledge, I can analyze the relationship between the feature "n_p_ecg_p_09" and the task of determining if the patient has chronic heart failure.

To analyze this, we can look at the association between the possible values of the "n_p_ecg_p_09" feature and the presence or absence of chronic heart failure.

Here is how we can create the dictionary:

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

In this case, the feature "n_p_ecg_p_09" has two possible categorical values: "no" and "yes". 

For the target class "no" (indicating the patient does not have chronic heart failure), the feature value can only be "no".

For the target class "yes" (indicating the patient has chronic heart failure), the feature value can only be "yes".

Since there are no other possible values mentioned for the feature, we include only the values that are specified and relevant to the analysis in the dictionary.