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:
Según Triadú, "se trataría de que Microsoft sirviese de motor al eje tecnológico que quiere impulsar la Generalitat y que iría desde el campus de la Universidad Autónoma de Barcelona (UAB), pasaría por el Parque Tecnológico del Vallés, que está en fase de ampliación; bajaría a lo largo de la B-30 alcanzando el proyecto 22 @ en el Poblenou de Barcelona, y terminaría en el campus de Castelldefels de la Universidad Politécnica de Cataluña (UPC)".
Postion	Tokenization
1	Según
2	Triadú
3	,
4	"
5	se
6	trataría
7	de
8	que
9	Microsoft
10	sirviese
11	de
12	motor
13	al
14	eje
15	tecnológico
16	que
17	quiere
18	impulsar
19	la
20	Generalitat
21	y
22	que
23	iría
24	desde
25	el
26	campus
27	de
28	la
29	Universidad
30	Autónoma
31	de
32	Barcelona
33	(
34	UAB
35	)
36	,
37	pasaría
38	por
39	el
40	Parque
41	Tecnológico
42	del
43	Vallés
44	,
45	que
46	está
47	en
48	fase
49	de
50	ampliación
51	;
52	bajaría
53	a
54	lo
55	largo
56	de
57	la
58	B-30
59	alcanzando
60	el
61	proyecto
62	22
63	@
64	en
65	el
66	Poblenou
67	de
68	Barcelona
69	,
70	y
71	terminaría
72	en
73	el
74	campus
75	de
76	Castelldefels
77	de
78	la
79	Universidad
80	Politécnica
81	de
82	Cataluña
83	(
84	UPC
85	)
86	"
87	.
Position	Tokenization	UPOS	Head	Deprel
1	Según	ADP	2	case
2	Triadú	PROPN	6	obl
3	,	PUNCT	2	punct
4	"	PUNCT	6	punct
5	se	PRON	6	expl:impers
6	trataría	VERB	0	root
7	de	ADP	10	mark
8	que	SCONJ	10	mark
9	Microsoft	PROPN	10	nsubj
10	sirviese	VERB	6	ccomp
11	de	ADP	12	case
12	motor	NOUN	10	obj
13	al	ADP	14	case
14	eje	NOUN	10	obj
15	tecnológico	ADJ	14	amod
16	que	PRON	17	iobj
17	quiere	VERB	14	acl
18	impulsar	VERB	17	xcomp
19	la	DET	20	det
20	Generalitat	PROPN	17	nsubj
21	y	CCONJ	23	cc
22	que	PRON	23	nsubj
23	iría	VERB	17	conj
24	desde	ADP	26	case
25	el	DET	26	det
26	campus	NOUN	23	obl
27	de	ADP	29	case
28	la	DET	29	det
29	Universidad	PROPN	26	nmod
30	Autónoma	PROPN	29	flat
31	de	ADP	32	case
32	Barcelona	PROPN	29	flat
33	(	PUNCT	34	punct
34	UAB	PROPN	29	flat
35	)	PUNCT	34	punct
36	,	PUNCT	37	punct
37	pasaría	VERB	23	advcl
38	por	ADP	40	case
39	el	DET	40	det
40	Parque	PROPN	37	obl
41	Tecnológico	PROPN	40	flat
42	del	ADP	43	case
43	Vallés	PROPN	40	flat
44	,	PUNCT	48	punct
45	que	PRON	48	nsubj
46	está	AUX	48	cop
47	en	ADP	48	case
48	fase	NOUN	40	acl
49	de	ADP	50	case
50	ampliación	NOUN	48	nmod
51	;	PUNCT	52	punct
52	bajaría	VERB	23	advcl
53	a	ADP	58	case
54	lo	PRON	53	fixed
55	largo	NOUN	53	fixed
56	de	ADP	53	fixed
57	la	DET	58	det
58	B-30	PROPN	52	obl
59	alcanzando	VERB	52	advcl
60	el	DET	61	det
61	proyecto	NOUN	59	obj
62	22	NUM	61	appos
63	@	SYM	62	compound
64	en	ADP	66	case
65	el	DET	66	det
66	Poblenou	PROPN	61	nmod
67	de	ADP	68	case
68	Barcelona	PROPN	66	nmod
69	,	PUNCT	59	punct
70	y	CCONJ	71	cc
71	terminaría	VERB	23	conj
72	en	ADP	74	case
73	el	DET	74	det
74	campus	NOUN	71	obl
75	de	ADP	76	case
76	Castelldefels	PROPN	74	nmod
77	de	ADP	79	case
78	la	DET	79	det
79	Universidad	PROPN	74	nmod
80	Politécnica	PROPN	79	flat
81	de	ADP	82	case
82	Cataluña	PROPN	79	flat
83	(	PUNCT	84	punct
84	UPC	PROPN	79	flat
85	)	PUNCT	84	punct
86	"	PUNCT	6	punct
87	.	PUNCT	6	punct