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:
Microsoft contraatacó ayer en su alegato final contra la propuesta del Gobierno de EEUU de dividir la compañía en dos y aseguró que la petición es "vaga, ambigua y deficiente".
Postion	Tokenization
1	Microsoft
2	contraatacó
3	ayer
4	en
5	su
6	alegato
7	final
8	contra
9	la
10	propuesta
11	del
12	Gobierno
13	de
14	EEUU
15	de
16	dividir
17	la
18	compañía
19	en
20	dos
21	y
22	aseguró
23	que
24	la
25	petición
26	es
27	"
28	vaga
29	,
30	ambigua
31	y
32	deficiente
33	"
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Microsoft	PROPN	2	nsubj
2	contraatacó	VERB	0	root
3	ayer	ADV	2	advmod
4	en	ADP	6	case
5	su	DET	6	det
6	alegato	NOUN	2	obl
7	final	ADJ	6	amod
8	contra	ADP	10	case
9	la	DET	10	det
10	propuesta	NOUN	6	nmod
11	del	ADP	12	case
12	Gobierno	PROPN	10	nmod
13	de	ADP	14	case
14	EEUU	PROPN	12	flat
15	de	ADP	16	mark
16	dividir	VERB	10	acl
17	la	DET	18	det
18	compañía	NOUN	16	obj
19	en	ADP	20	case
20	dos	NUM	16	obl
21	y	CCONJ	22	cc
22	aseguró	VERB	2	conj
23	que	SCONJ	28	mark
24	la	DET	25	det
25	petición	NOUN	28	nsubj
26	es	AUX	28	cop
27	"	PUNCT	28	punct
28	vaga	ADJ	22	ccomp
29	,	PUNCT	30	punct
30	ambigua	ADJ	28	conj
31	y	CCONJ	32	cc
32	deficiente	ADJ	28	conj
33	"	PUNCT	28	punct
34	.	PUNCT	2	punct