Based on prior knowledge, it is unclear how the feature "FK_STENOK" specifically relates to the task of determining whether the patient shows chronic heart failure. However, we can still analyze the relationship between the feature and target by examining the distribution of "FK_STENOK" categories for each target class.

To perform this analysis, we can examine the frequency of each category of "FK_STENOK" for patients with and without chronic heart failure. By observing any patterns or differences in the distribution, we can gain insights into the relationship between the feature and target.

To simplify the analysis, let's assume the target class "no" refers to patients without chronic heart failure, while the target class "yes" corresponds to patients with chronic heart failure.

Here is the dictionary with the distribution of "FK_STENOK" categories for each target class:

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

Please note that this is just a hypothetical example. The actual distribution of "FK_STENOK" categories may differ based on the data provided.