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: It'll take you to all the major sites (GG Bridge, Haight, Chinatown, etc) and you can get off anyplace you want to spend more time at.
Position	Tokenization	UPOS	Head	Deprel
1	It'll	_	None	_
2	It	PRON	3	nsubj
3	'll	AUX	3	aux
4	take	VERB	0	root
5	you	PRON	3	obj
6	to	ADP	9	case
7	all	DET	9	det:predet
8	the	DET	9	det
9	major	ADJ	9	amod
10	sites	NOUN	3	obl
11	(	PUNCT	12	punct
12	GG	PROPN	12	compound
13	Bridge	PROPN	9	appos
14	,	PUNCT	14	punct
15	Haight	PROPN	12	conj
16	,	PUNCT	16	punct
17	Chinatown	PROPN	12	conj
18	,	PUNCT	18	punct
19	etc	X	12	conj
20	)	PUNCT	12	punct
21	and	CCONJ	23	cc
22	you	PRON	23	nsubj
23	can	AUX	23	aux
24	get	VERB	3	conj
25	off	ADV	23	advmod
26	anyplace	ADV	23	advmod
27	you	PRON	27	nsubj
28	want	VERB	25	acl:relcl
29	to	PART	29	mark
30	spend	VERB	27	xcomp
31	more	ADJ	31	amod
32	time	NOUN	29	obj
33	at	ADP	29	obl
34	.	PUNCT	3	punct