Based on my prior knowledge, the feature "INF_ANAM" represents the quantity of myocardial infarctions in the patient's medical history. To analyze the relationship between this feature and the presence of chronic heart failure, we need to examine the frequency of each value of "INF_ANAM" for patients with and without chronic heart failure.

Let's assume the target class "yes" represents patients with chronic heart failure, and the target class "no" represents patients without chronic heart failure.

To create the dictionary, we can start by categorizing the values of "INF_ANAM" for each target class.

For patients with chronic heart failure (target class "yes"), we can categorize the "INF_ANAM" values as follows:

- "one"
- "two"
- "three and more"

For patients without chronic heart failure (target class "no"), we can categorize the "INF_ANAM" values as follows:

- "zero"

Now, let's create the dictionary:

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

Please note that this analysis is based on limited information, and additional data and analysis may be required for a more accurate relationship assessment between the feature and the target variable.