Based on prior knowledge, exertional angina pectoris (STENOK_AN) in the anamnesis can be a possible risk factor for chronic heart failure. Let's analyze how this feature relates to the target variable.

To create the dictionary, we need to determine the possible values of the feature STENOK_AN for each target class (yes or no - chronic heart failure).

Upon analyzing the relationship between the feature and the task, we need to consider the fact that the specific category values may or may not correspond directly to chronic heart failure. However, we can still include the values of STENOK_AN that show a positive relationship with chronic heart failure.

Based on this analysis, the dictionary will look like this:

```json
{
	"no": ["never", "more than 5 years ago"], 
	"yes": ["during the last year", "4-5 years ago", "one year ago", "two years ago", "three years ago"]
}
```

In this case, the values "never" and "more than 5 years ago" for STENOK_AN are associated with the "no" target class (indicating no chronic heart failure). The values "during the last year", "4-5 years ago", "one year ago", "two years ago", and "three years ago" for STENOK_AN are associated with the "yes" target class (indicating chronic heart failure).