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:
But it looks like Google isn't opening it's mouth about the reason behind the offer as Linux News reports:
Postion	Tokenization
1	But
2	it
3	looks
4	like
5	Google
6	isn't
7	is
8	n't
9	opening
10	it's
11	mouth
12	about
13	the
14	reason
15	behind
16	the
17	offer
18	as
19	Linux
20	News
21	reports
22	:
Position	Tokenization	UPOS	Head	Deprel
1	But	CCONJ	3	cc
2	it	PRON	3	nsubj
3	looks	VERB	0	root
4	like	SCONJ	8	mark
5	Google	PROPN	8	nsubj
6	isn't	_	None	_
7	is	AUX	8	aux
8	n't	PART	8	advmod
9	opening	VERB	3	advcl
10	it's	PRON	10	nmod:poss
11	mouth	NOUN	8	obj
12	about	ADP	13	case
13	the	DET	13	det
14	reason	NOUN	8	obl
15	behind	ADP	16	case
16	the	DET	16	det
17	offer	NOUN	13	nmod
18	as	SCONJ	20	mark
19	Linux	PROPN	19	compound
20	News	PROPN	20	nsubj
21	reports	VERB	8	advcl
22	:	PUNCT	3	punct