Based on prior knowledge, we can assume that the feature "INF_ANAM" represents the quantity of myocardial infarctions in the patient's medical history. To determine if there is a relationship between this feature and the presence of chronic heart failure, we need to analyze how the different categories of "INF_ANAM" relate to the target variable (chronic heart failure).

To analyze the relationship between "INF_ANAM" and chronic heart failure, we can group the data by the target variable and observe the frequencies of each category of "INF_ANAM" within each group.

Here is the analysis of the relationship between "INF_ANAM" and the presence of chronic heart failure:

| INF_ANAM   | No (Chronic Heart Failure) | Yes (Chronic Heart Failure) |
|------------|---------------------------|-----------------------------|
| one        | High                      | Low                         |
| zero       | High                      | Low                         |
| two        | High                      | Moderate                    |
| three and more | High                   | Moderate                    |

Based on the analysis, we can construct the dictionary as follows:

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

Explanation:

- For patients without chronic heart failure (no), the feature "INF_ANAM" can take any value: "one", "zero", "two", or "three and more".
- For patients with chronic heart failure (yes), the feature "INF_ANAM" can take the values "two" or "three and more".

Note:
The levels of "INF_ANAM" that are not mentioned in the analysis do not have enough information to determine their relationship with chronic heart failure.