Based on prior knowledge of myocardial infarction complications and chronic heart failure, it is possible to analyze the relationship between the feature INF_ANAM and the target variable.

Without further information, it is difficult to precisely determine the relationship between the feature and the target variable. However, we can make some assumptions based on common medical knowledge. It is reasonable to assume that a higher quantity of myocardial infarctions in the patient's medical history (INF_ANAM) may indicate a higher likelihood of chronic heart failure. Therefore, patients with the categories 'one', 'two', or 'three and more' in feature INF_ANAM are more likely to exhibit chronic heart failure compared to patients with 'zero' instances of myocardial infarctions in their history.

Based on this analysis, we can create the dictionary as follows:

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

In this case, patients with 'zero' instances of myocardial infarctions are not likely to show chronic heart failure, while patients with 'one', 'two', or 'three and more' instances are more likely to exhibit chronic heart failure.