From the given feature description, we are looking for a relationship between the feature "FK_STENOK" (Functional class of angina pectoris) and the target variable "Does the patient show chronic heart failure?". 

To determine if the patient has chronic heart failure, we need to examine the relationship between the functional class of angina pectoris and the presence of chronic heart failure. 

Since the feature "FK_STENOK" represents the functional class of angina pectoris, we can assume that higher functional classes indicate a greater severity of angina pectoris. It is common for patients with chronic heart failure to experience higher functional classes of angina pectoris.

Based on this analysis, we can create a dictionary with the possible values of the "FK_STENOK" feature for each class of the target variable. Here is the dictionary:

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

The "no" class represents patients without chronic heart failure, and they can have either "there is no angina pectoris" or "II FC" as the functional class of angina pectoris. 

The "yes" class represents patients with chronic heart failure, and they can have either "IV FC", "I FC", or "III FC." as the functional class of angina pectoris.

It's important to note that this is a general analysis based on prior knowledge, and individual cases may vary.