As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
    - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
    - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	3	det
2	big	ADJ	3	amod
3	dog	NOUN	4	nsubj
4	chased	VERB	0	ROOT
5	the	DET	6	det
6	cat	NOUN	4	obj
7	.	PUNCT	4	punct
Generate UD annotations for the following text: I like Hayes Street Grill....another plus, it's right by Civic Center, so you can take a romantic walk around the Opera House, City Hall, Symphony Auditorium...all very beautiful.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	like	VERB	0	root
3	Hayes	PROPN	4	compound
4	Street	PROPN	5	compound
5	Grill	PROPN	2	obj
6	....	PUNCT	2	punct
7	another	DET	8	det
8	plus	NOUN	15	discourse
9	,	PUNCT	15	punct
10	it's	_	None	_
11	it	PRON	15	nsubj
12	's	AUX	15	cop
13	right	ADV	15	advmod
14	by	ADP	15	case
15	Civic	PROPN	15	compound
16	Center	PROPN	2	parataxis
17	,	PUNCT	20	punct
18	so	ADV	20	advmod
19	you	PRON	20	nsubj
20	can	AUX	20	aux
21	take	VERB	15	conj
22	a	DET	23	det
23	romantic	ADJ	23	amod
24	walk	NOUN	20	obj
25	around	ADP	27	case
26	the	DET	27	det
27	Opera	PROPN	27	compound
28	House	PROPN	23	nmod
29	,	PUNCT	30	punct
30	City	PROPN	30	compound
31	Hall	PROPN	27	conj
32	,	PUNCT	33	punct
33	Symphony	PROPN	33	compound
34	Auditorium	PROPN	27	conj
35	...	PUNCT	15	punct
36	all	DET	37	nsubj
37	very	ADV	37	advmod
38	beautiful	ADJ	15	parataxis
39	.	PUNCT	2	punct