To analyze the relationship between the feature FK_STENOK and the presence of chronic heart failure, we need to examine the distribution of FK_STENOK values for each target class.

From the given description, the possible values of FK_STENOK are ['there is no angina pectoris', 'II FC', 'IV FC', 'I FC', 'III FC.'].

Let's assume the target class "yes" represents the presence of chronic heart failure and the target class "no" represents the absence of chronic heart failure.

Based on my prior knowledge, it is likely that patients with more severe angina pectoris (higher functional class) are more prone to develop chronic heart failure. Therefore, we might expect to see a higher occurrence of FK_STENOK values indicating higher functional classes in the "yes" target class.

Here is the dictionary representing the relationship between FK_STENOK and the occurrence of chronic heart failure:

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

The target class "no" includes only the FK_STENOK value "there is no angina pectoris" since it suggests the absence of angina pectoris, which may indicate a lower likelihood of chronic heart failure. 

The target class "yes" includes all the FK_STENOK values since they represent different levels of angina pectoris, and patients with any of these values might have an increased risk of developing chronic heart failure.