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 nuevo tramo, que ya está en periodo de información pública, tendrá 2.547 metros de longitud e incluirá tres estaciones que darán servicio a los barrios del Carmel, la Teixonera, el Coll y Vallcarca, en el distrito de Horta-Guinardó.
Postion	Tokenization
1	El
2	nuevo
3	tramo
4	,
5	que
6	ya
7	está
8	en
9	periodo
10	de
11	información
12	pública
13	,
14	tendrá
15	2.547
16	metros
17	de
18	longitud
19	e
20	incluirá
21	tres
22	estaciones
23	que
24	darán
25	servicio
26	a
27	los
28	barrios
29	del
30	Carmel
31	,
32	la
33	Teixonera
34	,
35	el
36	Coll
37	y
38	Vallcarca
39	,
40	en
41	el
42	distrito
43	de
44	Horta-Guinardó
45	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	3	det
2	nuevo	ADJ	3	amod
3	tramo	NOUN	14	nsubj
4	,	PUNCT	9	punct
5	que	PRON	9	nsubj
6	ya	ADV	9	advmod
7	está	AUX	9	cop
8	en	ADP	9	case
9	periodo	NOUN	3	acl
10	de	ADP	11	case
11	información	NOUN	9	nmod
12	pública	ADJ	11	amod
13	,	PUNCT	9	punct
14	tendrá	VERB	0	root
15	2.547	NUM	16	nummod
16	metros	NOUN	14	obj
17	de	ADP	18	case
18	longitud	NOUN	16	nmod
19	e	CCONJ	20	cc
20	incluirá	VERB	14	conj
21	tres	NUM	22	nummod
22	estaciones	NOUN	20	obj
23	que	PRON	24	nsubj
24	darán	VERB	22	acl
25	servicio	NOUN	24	obj
26	a	ADP	28	case
27	los	DET	28	det
28	barrios	NOUN	24	obj
29	del	ADP	30	case
30	Carmel	PROPN	28	nmod
31	,	PUNCT	33	punct
32	la	DET	33	det
33	Teixonera	PROPN	30	flat
34	,	PUNCT	36	punct
35	el	DET	36	det
36	Coll	PROPN	30	flat
37	y	CCONJ	38	cc
38	Vallcarca	PROPN	30	conj
39	,	PUNCT	42	punct
40	en	ADP	42	case
41	el	DET	42	det
42	distrito	NOUN	28	nmod
43	de	ADP	44	case
44	Horta-Guinardó	PROPN	42	nmod
45	.	PUNCT	14	punct