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 profundidad de esta estación, que deberá sortear obstáculos orográficos, explica la necesidad de dotarla con dos ascensores, que conectarán los andenes con los vestíbulos de los accesos de Fastenrath-Arenys y Coll-Vallcarca.
Postion	Tokenization
1	La
2	profundidad
3	de
4	esta
5	estación
6	,
7	que
8	deberá
9	sortear
10	obstáculos
11	orográficos
12	,
13	explica
14	la
15	necesidad
16	de
17	dotarla
18	dotar
19	la
20	con
21	dos
22	ascensores
23	,
24	que
25	conectarán
26	los
27	andenes
28	con
29	los
30	vestíbulos
31	de
32	los
33	accesos
34	de
35	Fastenrath-Arenys
36	y
37	Coll-Vallcarca
38	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	profundidad	NOUN	13	nsubj
3	de	ADP	5	case
4	esta	DET	5	det
5	estación	NOUN	2	nmod
6	,	PUNCT	9	punct
7	que	PRON	9	nsubj
8	deberá	AUX	9	aux
9	sortear	VERB	2	acl
10	obstáculos	NOUN	9	obj
11	orográficos	ADJ	10	amod
12	,	PUNCT	9	punct
13	explica	VERB	0	root
14	la	DET	15	det
15	necesidad	NOUN	13	obj
16	de	ADP	17	mark
17	dotarla	_	None	_
18	dotar	VERB	15	acl
19	la	PRON	17	obj
20	con	ADP	21	case
21	dos	NUM	21	nummod
22	ascensores	NOUN	17	obj
23	,	PUNCT	24	punct
24	que	PRON	24	nsubj
25	conectarán	VERB	21	acl
26	los	DET	26	det
27	andenes	NOUN	24	obj
28	con	ADP	29	case
29	los	DET	29	det
30	vestíbulos	NOUN	24	obj
31	de	ADP	32	case
32	los	DET	32	det
33	accesos	NOUN	29	nmod
34	de	ADP	34	case
35	Fastenrath-Arenys	PROPN	32	nmod
36	y	CCONJ	36	cc
37	Coll-Vallcarca	PROPN	34	conj
38	.	PUNCT	13	punct