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:
A las virtuales nuevas compañías, una dedicada al sistema operativo Windows y otra a las aplicaciones, como Office, se sumaría una nueva empresa sólo para el navegador de Internet Explorer.
Postion	Tokenization
1	A
2	las
3	virtuales
4	nuevas
5	compañías
6	,
7	una
8	dedicada
9	al
10	sistema
11	operativo
12	Windows
13	y
14	otra
15	a
16	las
17	aplicaciones
18	,
19	como
20	Office
21	,
22	se
23	sumaría
24	una
25	nueva
26	empresa
27	sólo
28	para
29	el
30	navegador
31	de
32	Internet
33	Explorer
34	.
Position	Tokenization	UPOS	Head	Deprel
1	A	ADP	5	case
2	las	DET	5	det
3	virtuales	ADJ	5	amod
4	nuevas	ADJ	5	amod
5	compañías	NOUN	23	obj
6	,	PUNCT	7	punct
7	una	PRON	5	appos
8	dedicada	ADJ	7	amod
9	al	ADP	10	case
10	sistema	NOUN	8	obj
11	operativo	ADJ	10	amod
12	Windows	PROPN	10	appos
13	y	CCONJ	14	cc
14	otra	PRON	7	conj
15	a	ADP	17	case
16	las	DET	17	det
17	aplicaciones	NOUN	14	nmod
18	,	PUNCT	20	punct
19	como	SCONJ	20	mark
20	Office	PROPN	14	nmod
21	,	PUNCT	7	punct
22	se	PRON	23	expl:pv
23	sumaría	VERB	0	root
24	una	DET	26	det
25	nueva	ADJ	26	amod
26	empresa	NOUN	23	nsubj
27	sólo	ADV	23	advmod
28	para	ADP	27	case
29	el	DET	30	det
30	navegador	NOUN	27	nmod
31	de	ADP	32	case
32	Internet	PROPN	30	nmod
33	Explorer	PROPN	32	flat
34	.	PUNCT	23	punct