In this task, we ask you to parse restaurant descriptions into a structured data table of key-value pairs. Here are the attributes (keys) and their examples values. You should preserve this order when creating the answer: 
 name: The Eagle,... 
 eatType: restaurant, coffee shop,... 
 food: French, Italian,... 
 priceRange: cheap, expensive,... 
 customerRating: 1 of 5 (low), 4 of 5 (high) 
 area: riverside, city center, ... 
 familyFriendly: Yes / No 
 near: Panda Express,...
 The output table may contain all or only some of the attributes but must not contain unlisted attributes. For the output to be considered correct, it also must parse all of the attributes existant in the input sentence; in other words, incomplete parsing would be considered incorrect.

Example Input: Alimentum is a decent assessment of clients and offers eating fast food at average prices. nearby there is a Yippee Noodle Bar
Example Output: name[Alimentum], food[Fast food], priceRange[moderate], customer rating[3 out of 5], area[riverside], near[Yippee Noodle Bar]

Example Input: The Dumpling Tree, riverside near Café Sicilia, is a high priced, non family-friendly coffee shop.
Example Output: name[The Dumpling Tree], eatType[coffee shop], priceRange[more than £30], area[riverside], familyFriendly[no], near[Café Sicilia]

Example Input: The coffee shop named The Eagle has cheap Indian food and an average customer rating. It is near the Burger King on the riverside and is not family friendly.
Example Output:
name[The Eagle], eatType[coffee shop], food[Indian], priceRange[cheap], customer rating[average], area[riverside], familyFriendly[no], near[Burger King]