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:
A través de las cortinas de lluvia y lágrimas, el mar era una opción: o avanzar hacia las definitivas profundidades y hundir para siempre la piedra oscura que le ocupaba el cerebro o regresar a la playa para recuperar la penumbra de una fuga frustrada.
Postion	Tokenization
1	A
2	través
3	de
4	las
5	cortinas
6	de
7	lluvia
8	y
9	lágrimas
10	,
11	el
12	mar
13	era
14	una
15	opción
16	:
17	o
18	avanzar
19	hacia
20	las
21	definitivas
22	profundidades
23	y
24	hundir
25	para
26	siempre
27	la
28	piedra
29	oscura
30	que
31	le
32	ocupaba
33	el
34	cerebro
35	o
36	regresar
37	a
38	la
39	playa
40	para
41	recuperar
42	la
43	penumbra
44	de
45	una
46	fuga
47	frustrada
48	.
Position	Tokenization	UPOS	Head	Deprel
1	A	ADP	5	case
2	través	NOUN	1	fixed
3	de	ADP	1	fixed
4	las	DET	5	det
5	cortinas	NOUN	15	obl
6	de	ADP	7	case
7	lluvia	NOUN	5	nmod
8	y	CCONJ	9	cc
9	lágrimas	NOUN	7	conj
10	,	PUNCT	5	punct
11	el	DET	12	det
12	mar	NOUN	15	nsubj
13	era	AUX	15	cop
14	una	DET	15	det
15	opción	NOUN	0	root
16	:	PUNCT	18	punct
17	o	CCONJ	18	cc
18	avanzar	VERB	15	appos
19	hacia	ADP	22	case
20	las	DET	22	det
21	definitivas	ADJ	22	amod
22	profundidades	NOUN	18	obl
23	y	CCONJ	24	cc
24	hundir	VERB	18	conj
25	para	ADP	26	case
26	siempre	ADV	24	advmod
27	la	DET	28	det
28	piedra	NOUN	24	obj
29	oscura	ADJ	28	amod
30	que	PRON	32	nsubj
31	le	PRON	32	obj
32	ocupaba	VERB	28	acl
33	el	DET	34	det
34	cerebro	NOUN	32	obj
35	o	CCONJ	36	cc
36	regresar	VERB	18	conj
37	a	ADP	39	case
38	la	DET	39	det
39	playa	NOUN	36	obl
40	para	ADP	41	mark
41	recuperar	VERB	36	advcl
42	la	DET	43	det
43	penumbra	NOUN	41	obj
44	de	ADP	46	case
45	una	DET	46	det
46	fuga	NOUN	43	nmod
47	frustrada	ADJ	46	amod
48	.	PUNCT	15	punct