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, empresa que creó el programa Windows que usan el 95% de los ordenadores, aseguran que la división de la firma disminuiría su capacidad para competir.
Postion	Tokenization
1	Los
2	abogados
3	de
4	Microsoft
5	,
6	empresa
7	que
8	creó
9	el
10	programa
11	Windows
12	que
13	usan
14	el
15	95%
16	de
17	los
18	ordenadores
19	,
20	aseguran
21	que
22	la
23	división
24	de
25	la
26	firma
27	disminuiría
28	su
29	capacidad
30	para
31	competir
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	abogados	NOUN	20	nsubj
3	de	ADP	4	case
4	Microsoft	PROPN	2	nmod
5	,	PUNCT	6	punct
6	empresa	NOUN	4	appos
7	que	PRON	8	nsubj
8	creó	VERB	6	acl
9	el	DET	10	det
10	programa	NOUN	8	obj
11	Windows	PROPN	10	appos
12	que	PRON	13	obj
13	usan	VERB	10	acl
14	el	DET	15	det
15	95%	SYM	13	nsubj
16	de	ADP	18	case
17	los	DET	18	det
18	ordenadores	NOUN	15	nmod
19	,	PUNCT	6	punct
20	aseguran	VERB	0	root
21	que	SCONJ	27	mark
22	la	DET	23	det
23	división	NOUN	27	nsubj
24	de	ADP	26	case
25	la	DET	26	det
26	firma	NOUN	23	nmod
27	disminuiría	VERB	20	ccomp
28	su	DET	29	det
29	capacidad	NOUN	27	obj
30	para	ADP	31	mark
31	competir	VERB	29	acl
32	.	PUNCT	20	punct