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 estación del Carmel estará dotada de accesos en la plaza de Pastrana y en la calle de Llobregós, próxima al mercado municipal, lo que llevará el metro a 25.000 vecinos de esta zona del distrito de Horta-Guinardó.
Postion	Tokenization
1	La
2	estación
3	del
4	Carmel
5	estará
6	dotada
7	de
8	accesos
9	en
10	la
11	plaza
12	de
13	Pastrana
14	y
15	en
16	la
17	calle
18	de
19	Llobregós
20	,
21	próxima
22	al
23	mercado
24	municipal
25	,
26	lo
27	que
28	llevará
29	el
30	metro
31	a
32	25.000
33	vecinos
34	de
35	esta
36	zona
37	del
38	distrito
39	de
40	Horta-Guinardó
41	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	estación	NOUN	6	nsubj
3	del	ADP	4	case
4	Carmel	PROPN	2	nmod
5	estará	AUX	6	cop
6	dotada	ADJ	0	root
7	de	ADP	8	case
8	accesos	NOUN	6	obj
9	en	ADP	11	case
10	la	DET	11	det
11	plaza	NOUN	6	obl
12	de	ADP	13	case
13	Pastrana	PROPN	11	nmod
14	y	CCONJ	17	cc
15	en	ADP	17	case
16	la	DET	17	det
17	calle	NOUN	11	conj
18	de	ADP	19	case
19	Llobregós	PROPN	17	nmod
20	,	PUNCT	21	punct
21	próxima	ADJ	17	amod
22	al	ADP	23	case
23	mercado	NOUN	21	nmod
24	municipal	ADJ	23	amod
25	,	PUNCT	28	punct
26	lo	PRON	28	det
27	que	PRON	28	nsubj
28	llevará	VERB	6	advcl
29	el	DET	30	det
30	metro	NOUN	28	obj
31	a	ADP	33	case
32	25.000	NUM	33	nummod
33	vecinos	NOUN	28	obj
34	de	ADP	36	case
35	esta	DET	36	det
36	zona	NOUN	33	nmod
37	del	ADP	38	case
38	distrito	NOUN	36	nmod
39	de	ADP	40	case
40	Horta-Guinardó	PROPN	38	nmod
41	.	PUNCT	6	punct