Based on my prior knowledge, the feature "INF_ANAM" indicates the quantity of myocardial infarctions in the anamnesis. To determine whether the patient shows chronic heart failure, we need to analyze the relationship between the feature and the target variable.

To do this, we can examine the distribution of the feature values for the two target classes, "yes" (indicating chronic heart failure) and "no" (indicating no chronic heart failure).

Based on the feature description, we can expect the following possible values for the feature "INF_ANAM": ['one', 'zero', 'two', 'three and more'].

Let's analyze the relationship and create the required dictionary:

```json
{
    "no": ["zero", "one", "two", "three and more"],
    "yes": ["zero", "one", "two", "three and more"]
}
```

Since there is no specific information on which values are more likely to indicate chronic heart failure, we include all the possible values for both target classes.