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:
La Generalitat negocia con Microsoft que esta multinacional instale un centro de I + D en Cataluña que sirva de locomotora al eje tecnológico que iría desde el campus de la UAB, en Cerdanyola del Vallés, hasta las nuevas instalaciones de la UPC en Castelldefels, según explicó hoy el consejero de la Presidencia, Joaquim Triadú.
Postion	Tokenization
1	La
2	Generalitat
3	negocia
4	con
5	Microsoft
6	que
7	esta
8	multinacional
9	instale
10	un
11	centro
12	de
13	I
14	+
15	D
16	en
17	Cataluña
18	que
19	sirva
20	de
21	locomotora
22	al
23	eje
24	tecnológico
25	que
26	iría
27	desde
28	el
29	campus
30	de
31	la
32	UAB
33	,
34	en
35	Cerdanyola
36	del
37	Vallés
38	,
39	hasta
40	las
41	nuevas
42	instalaciones
43	de
44	la
45	UPC
46	en
47	Castelldefels
48	,
49	según
50	explicó
51	hoy
52	el
53	consejero
54	de
55	la
56	Presidencia
57	,
58	Joaquim
59	Triadú
60	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	Generalitat	PROPN	3	nsubj
3	negocia	VERB	0	root
4	con	ADP	5	case
5	Microsoft	PROPN	3	obl
6	que	SCONJ	9	mark
7	esta	DET	8	det
8	multinacional	NOUN	9	nsubj
9	instale	VERB	3	ccomp
10	un	DET	11	det
11	centro	NOUN	9	obj
12	de	ADP	13	case
13	I	CCONJ	11	nmod
14	+	PROPN	13	flat
15	D	PROPN	14	flat
16	en	ADP	17	case
17	Cataluña	PROPN	9	obl
18	que	PRON	19	nsubj
19	sirva	VERB	9	advcl
20	de	ADP	21	case
21	locomotora	NOUN	19	obj
22	al	ADP	23	case
23	eje	NOUN	19	obj
24	tecnológico	ADJ	23	amod
25	que	PRON	26	nsubj
26	iría	VERB	23	acl
27	desde	ADP	29	case
28	el	DET	29	det
29	campus	NOUN	26	obl
30	de	ADP	32	case
31	la	DET	32	det
32	UAB	PROPN	29	nmod
33	,	PUNCT	35	punct
34	en	ADP	35	case
35	Cerdanyola	PROPN	29	nmod
36	del	ADP	37	case
37	Vallés	PROPN	35	flat
38	,	PUNCT	35	punct
39	hasta	ADP	42	case
40	las	DET	42	det
41	nuevas	ADJ	42	amod
42	instalaciones	NOUN	26	obl
43	de	ADP	45	case
44	la	DET	45	det
45	UPC	PROPN	42	nmod
46	en	ADP	47	case
47	Castelldefels	PROPN	42	nmod
48	,	PUNCT	50	punct
49	según	SCONJ	50	mark
50	explicó	VERB	3	advcl
51	hoy	ADV	50	advmod
52	el	DET	53	det
53	consejero	NOUN	50	nsubj
54	de	ADP	56	case
55	la	DET	56	det
56	Presidencia	PROPN	53	nmod
57	,	PUNCT	58	punct
58	Joaquim	PROPN	53	appos
59	Triadú	PROPN	58	flat
60	.	PUNCT	3	punct