Based on prior knowledge, we need to analyze how the feature "STENOK_AN" (Exertional angina pectoris in the anamnesis) relates to the presence of chronic heart failure. Specifically, we need to determine the possible values of "STENOK_AN" for the target classes "yes" and "no" (indicating the presence and absence of chronic heart failure, respectively).

To analyze this relationship, we will look at historical data regarding patients with myocardial infarction complications and their corresponding chronic heart failure status.

To generate the required dictionary, we will examine the relationship between the feature "STENOK_AN" and the target variable "chronic heart failure" for each target class. We'll list the possible values of "STENOK_AN" for each class and omit the values that are hard to predict.

Please note that the target variable seems to be referred to as "chronic heart failure" rather than "myocardial infarction complications" in the task description.

Here's the dictionary with the specific details:

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

According to the analysis, patients with a history of exertional angina pectoris in the anamnesis within the last year or one year ago are more likely to show chronic heart failure. On the other hand, patients with the mentioned values in the "STENOK_AN" feature that are not listed in the "yes" class should be considered as not showing chronic heart failure.