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 nueva estación de Teixonera-Coll, que servirá a ambos barrios, contará con tres accesos, situados en las calles de Fastenrath-Rosell, Fastenrath-Arenys y en la confluencia de las calles del Beat Almató y Batet.
Postion	Tokenization
1	La
2	nueva
3	estación
4	de
5	Teixonera-Coll
6	,
7	que
8	servirá
9	a
10	ambos
11	barrios
12	,
13	contará
14	con
15	tres
16	accesos
17	,
18	situados
19	en
20	las
21	calles
22	de
23	Fastenrath-Rosell
24	,
25	Fastenrath-Arenys
26	y
27	en
28	la
29	confluencia
30	de
31	las
32	calles
33	del
34	Beat
35	Almató
36	y
37	Batet
38	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	3	det
2	nueva	ADJ	3	amod
3	estación	NOUN	13	nsubj
4	de	ADP	5	case
5	Teixonera-Coll	PROPN	3	nmod
6	,	PUNCT	8	punct
7	que	PRON	8	nsubj
8	servirá	VERB	3	acl
9	a	ADP	11	case
10	ambos	NUM	11	nummod
11	barrios	NOUN	8	obj
12	,	PUNCT	8	punct
13	contará	VERB	0	root
14	con	ADP	16	case
15	tres	NUM	16	nummod
16	accesos	NOUN	13	obj
17	,	PUNCT	18	punct
18	situados	ADJ	16	amod
19	en	ADP	21	case
20	las	DET	21	det
21	calles	NOUN	18	obl
22	de	ADP	23	case
23	Fastenrath-Rosell	PROPN	21	nmod
24	,	PUNCT	25	punct
25	Fastenrath-Arenys	PROPN	23	conj
26	y	CCONJ	29	cc
27	en	ADP	29	case
28	la	DET	29	det
29	confluencia	NOUN	21	conj
30	de	ADP	32	case
31	las	DET	32	det
32	calles	NOUN	29	nmod
33	del	ADP	34	case
34	Beat	PROPN	32	nmod
35	Almató	PROPN	34	flat
36	y	CCONJ	37	cc
37	Batet	PROPN	34	conj
38	.	PUNCT	13	punct