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: Japanese pub Zizzi is five out of five and not family-friendly.
Example Output: name[Zizzi], eatType[pub], food[Japanese], customer rating[5 out of 5], familyFriendly[no]

Example Input: The Waterman pub is located near the river and offers a wide selection of wines, and cuisines.
Example Output: name[The Waterman], eatType[pub], food[French], customer rating[low], area[riverside]

Example Input: Fitzbillies is a one star coffee shop located next to the river. It's mid-level price and family friendly place.
Example Output:
name[Fitzbillies], eatType[coffee shop], food[Japanese], priceRange[moderate], customer rating[1 out of 5], area[riverside], familyFriendly[yes]

