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:
En enero, aproximadamente, el programa de usos redactado por Josep Montanyés, actual director del Teatre Lliure y coordinador de la puesta en marcha de la Ciutat del Teatre, pasará a ser un texto definitivo y se sabrá entonces para qué servirá el edificio y qué funciones deberá cubrir.
Postion	Tokenization
1	En
2	enero
3	,
4	aproximadamente
5	,
6	el
7	programa
8	de
9	usos
10	redactado
11	por
12	Josep
13	Montanyés
14	,
15	actual
16	director
17	del
18	Teatre
19	Lliure
20	y
21	coordinador
22	de
23	la
24	puesta
25	en
26	marcha
27	de
28	la
29	Ciutat
30	del
31	Teatre
32	,
33	pasará
34	a
35	ser
36	un
37	texto
38	definitivo
39	y
40	se
41	sabrá
42	entonces
43	para
44	qué
45	servirá
46	el
47	edificio
48	y
49	qué
50	funciones
51	deberá
52	cubrir
53	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	2	case
2	enero	NOUN	33	obl
3	,	PUNCT	4	punct
4	aproximadamente	ADV	2	advmod
5	,	PUNCT	4	punct
6	el	DET	7	det
7	programa	NOUN	33	nsubj
8	de	ADP	9	case
9	usos	NOUN	7	nmod
10	redactado	ADJ	7	amod
11	por	ADP	12	case
12	Josep	PROPN	10	obj
13	Montanyés	PROPN	12	flat
14	,	PUNCT	16	punct
15	actual	ADJ	16	amod
16	director	NOUN	12	appos
17	del	ADP	18	case
18	Teatre	PROPN	16	nmod
19	Lliure	PROPN	18	flat
20	y	CCONJ	21	cc
21	coordinador	NOUN	16	conj
22	de	ADP	24	case
23	la	DET	24	det
24	puesta	NOUN	21	nmod
25	en	ADP	26	case
26	marcha	NOUN	24	compound
27	de	ADP	29	case
28	la	DET	29	det
29	Ciutat	PROPN	24	nmod
30	del	ADP	31	case
31	Teatre	PROPN	29	flat
32	,	PUNCT	16	punct
33	pasará	VERB	0	root
34	a	ADP	37	case
35	ser	AUX	37	cop
36	un	DET	37	det
37	texto	NOUN	33	xcomp
38	definitivo	ADJ	37	amod
39	y	CCONJ	41	cc
40	se	PRON	41	expl:pass
41	sabrá	VERB	33	conj
42	entonces	ADV	41	advmod
43	para	ADP	44	case
44	qué	PRON	45	obj
45	servirá	VERB	41	csubj
46	el	DET	47	det
47	edificio	NOUN	45	nsubj
48	y	CCONJ	52	cc
49	qué	DET	50	det
50	funciones	NOUN	52	obj
51	deberá	AUX	52	aux
52	cubrir	VERB	45	conj
53	.	PUNCT	33	punct