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:
El posible centro que Microsoft estudia desarrollar en Barcelona sería para telefonía móvil de tercera generación UMTS y en él podrían colaborar Telefónica y la propia UPC.
Postion	Tokenization
1	El
2	posible
3	centro
4	que
5	Microsoft
6	estudia
7	desarrollar
8	en
9	Barcelona
10	sería
11	para
12	telefonía
13	móvil
14	de
15	tercera
16	generación
17	UMTS
18	y
19	en
20	él
21	podrían
22	colaborar
23	Telefónica
24	y
25	la
26	propia
27	UPC
28	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	3	det
2	posible	ADJ	3	amod
3	centro	NOUN	10	nsubj
4	que	PRON	6	iobj
5	Microsoft	PROPN	6	nsubj
6	estudia	VERB	3	acl
7	desarrollar	VERB	6	xcomp
8	en	ADP	9	case
9	Barcelona	PROPN	7	obl
10	sería	AUX	0	root
11	para	ADP	12	case
12	telefonía	NOUN	10	obl
13	móvil	ADJ	12	amod
14	de	ADP	16	case
15	tercera	ADJ	16	amod
16	generación	NOUN	12	nmod
17	UMTS	PROPN	12	appos
18	y	CCONJ	22	cc
19	en	ADP	20	case
20	él	PRON	22	obj
21	podrían	AUX	22	aux
22	colaborar	VERB	10	conj
23	Telefónica	PROPN	22	nsubj
24	y	CCONJ	27	cc
25	la	DET	27	det
26	propia	ADJ	27	amod
27	UPC	PROPN	23	conj
28	.	PUNCT	10	punct