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:
Los abogados de Microsoft aseguran que la división de la firma disminuiría gravemente su capacidad para competir en el mercado de los programas informáticos.
Postion	Tokenization
1	Los
2	abogados
3	de
4	Microsoft
5	aseguran
6	que
7	la
8	división
9	de
10	la
11	firma
12	disminuiría
13	gravemente
14	su
15	capacidad
16	para
17	competir
18	en
19	el
20	mercado
21	de
22	los
23	programas
24	informáticos
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	abogados	NOUN	5	nsubj
3	de	ADP	4	case
4	Microsoft	PROPN	2	nmod
5	aseguran	VERB	0	root
6	que	SCONJ	12	mark
7	la	DET	8	det
8	división	NOUN	12	nsubj
9	de	ADP	11	case
10	la	DET	11	det
11	firma	NOUN	8	nmod
12	disminuiría	VERB	5	ccomp
13	gravemente	ADV	12	advmod
14	su	DET	15	det
15	capacidad	NOUN	12	obj
16	para	ADP	17	mark
17	competir	VERB	15	acl
18	en	ADP	20	case
19	el	DET	20	det
20	mercado	NOUN	17	obl
21	de	ADP	23	case
22	los	DET	23	det
23	programas	NOUN	20	nmod
24	informáticos	ADJ	23	amod
25	.	PUNCT	5	punct