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 cubierta se prolongará en la fachada principal hacia la avenida de Cambó, creando una especie de pérgola-escultura, un invernáculo que dará sombra y cuya función será "captar la energía de Via Laietana y de la plaza de la Catedral y captar el movimiento de turistas en la ruta de conexión con Santa Maria del Mar", explica Tagliabue.
Postion	Tokenization
1	La
2	cubierta
3	se
4	prolongará
5	en
6	la
7	fachada
8	principal
9	hacia
10	la
11	avenida
12	de
13	Cambó
14	,
15	creando
16	una
17	especie
18	de
19	pérgola-escultura
20	,
21	un
22	invernáculo
23	que
24	dará
25	sombra
26	y
27	cuya
28	función
29	será
30	"
31	captar
32	la
33	energía
34	de
35	Via
36	Laietana
37	y
38	de
39	la
40	plaza
41	de
42	la
43	Catedral
44	y
45	captar
46	el
47	movimiento
48	de
49	turistas
50	en
51	la
52	ruta
53	de
54	conexión
55	con
56	Santa
57	Maria
58	del
59	Mar
60	"
61	,
62	explica
63	Tagliabue
64	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	cubierta	NOUN	4	nsubj
3	se	PRON	4	expl:pass
4	prolongará	VERB	0	root
5	en	ADP	7	case
6	la	DET	7	det
7	fachada	NOUN	4	obl
8	principal	ADJ	7	amod
9	hacia	ADP	11	case
10	la	DET	11	det
11	avenida	NOUN	4	obl
12	de	ADP	13	case
13	Cambó	PROPN	11	nmod
14	,	PUNCT	15	punct
15	creando	VERB	4	advcl
16	una	DET	17	det
17	especie	NOUN	15	obj
18	de	ADP	19	case
19	pérgola-escultura	NOUN	17	nmod
20	,	PUNCT	22	punct
21	un	DET	22	det
22	invernáculo	NOUN	17	appos
23	que	PRON	24	nsubj
24	dará	VERB	22	acl
25	sombra	NOUN	24	obj
26	y	CCONJ	29	cc
27	cuya	PRON	28	nmod
28	función	NOUN	29	nsubj
29	será	AUX	24	conj
30	"	PUNCT	31	punct
31	captar	VERB	29	ccomp
32	la	DET	33	det
33	energía	NOUN	31	obj
34	de	ADP	35	case
35	Via	PROPN	33	nmod
36	Laietana	PROPN	35	flat
37	y	CCONJ	40	cc
38	de	ADP	40	case
39	la	DET	40	det
40	plaza	NOUN	35	conj
41	de	ADP	43	case
42	la	DET	43	det
43	Catedral	PROPN	40	nmod
44	y	CCONJ	45	cc
45	captar	VERB	31	conj
46	el	DET	47	det
47	movimiento	NOUN	45	obj
48	de	ADP	49	case
49	turistas	NOUN	47	nmod
50	en	ADP	52	case
51	la	DET	52	det
52	ruta	NOUN	47	nmod
53	de	ADP	54	case
54	conexión	NOUN	52	nmod
55	con	ADP	56	case
56	Santa	PROPN	54	nmod
57	Maria	PROPN	56	flat
58	del	ADP	59	case
59	Mar	PROPN	56	flat
60	"	PUNCT	31	punct
61	,	PUNCT	62	punct
62	explica	VERB	31	parataxis
63	Tagliabue	PROPN	62	nsubj
64	.	PUNCT	4	punct