Based on prior knowledge, chronic heart failure can be a potential complication of myocardial infarction. Therefore, there may be a relationship between the feature "FK_STENOK" (functional class of angina pectoris) and the occurrence of chronic heart failure.

To analyze the relationship, we can categorize the feature values of "FK_STENOK" into two groups: one representing patients with chronic heart failure (yes) and the other representing patients without chronic heart failure (no).

After categorization, we can observe the possible values of "FK_STENOK" for each group.

Here is the requested dictionary:

```json
{
	"no": ["there is no angina pectoris", "II FC", "I FC", "III FC."],
	"yes": ["IV FC"]
}
```

In this case, the possible values of "FK_STENOK" for the "no" group (patients without chronic heart failure) are: "there is no angina pectoris", "II FC", "I FC", and "III FC.". The value "IV FC" is the only possible value of "FK_STENOK" for the "yes" group (patients with chronic heart failure).

Keep in mind that this analysis is based on general knowledge and assumptions, and the actual relationship between the feature and target variable should be validated with specific data analysis and statistical modeling.