Based on my prior knowledge, I can analyze the relationship between the feature INF_ANAM and the presence of chronic heart failure in the myocardial infarction complications data.

Analysis:

From the feature description, the INF_ANAM represents the quantity of myocardial infarctions in the patient's medical history. There are four possible categories for this feature: 'one', 'zero', 'two', and 'three and more'.

To determine the relationship between INF_ANAM and the presence of chronic heart failure, we need to analyze the distribution of INF_ANAM values for different target classes (yes - chronic heart failure, and no - no chronic heart failure).

Based on available information, it is likely that patients with a higher quantity of myocardial infarctions in their medical history (INF_ANAM) may be more prone to chronic heart failure. However, without further data or domain-specific knowledge, it is challenging to make conclusive statements about the relationship.

Dictionary:

Based on the analysis, the dictionary representing the relationship between the feature INF_ANAM and the target class (chronic heart failure) can be as follows:

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

Please note that for this particular task, the INF_ANAM values for both target classes are the same as all four categories are included.