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 tokenized text:
The main reason is Google is more accessible to the global community and you can rest assured that it's not going to go away.
Postion	Tokenization
1	The
2	main
3	reason
4	is
5	Google
6	is
7	more
8	accessible
9	to
10	the
11	global
12	community
13	and
14	you
15	can
16	rest
17	assured
18	that
19	it's
20	it
21	's
22	not
23	going
24	to
25	go
26	away
27	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	3	det
2	main	ADJ	3	amod
3	reason	NOUN	4	nsubj
4	is	VERB	0	root
5	Google	PROPN	8	nsubj
6	is	AUX	8	cop
7	more	ADV	8	advmod
8	accessible	ADJ	4	ccomp
9	to	ADP	12	case
10	the	DET	12	det
11	global	ADJ	12	amod
12	community	NOUN	8	obl
13	and	CCONJ	16	cc
14	you	PRON	16	nsubj
15	can	AUX	16	aux
16	rest	VERB	8	conj
17	assured	VERB	16	advcl
18	that	SCONJ	22	mark
19	it's	_	None	_
20	it	PRON	22	nsubj
21	's	AUX	22	aux
22	not	PART	22	advmod
23	going	VERB	17	ccomp
24	to	PART	24	mark
25	go	VERB	22	xcomp
26	away	ADV	24	advmod
27	.	PUNCT	4	punct