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:
Salió del vestuario, metió precipitadamente ropa y zapatos revueltos en el armario y corrió hacia el mar, que iba y venía como una rugiente marea de añil y blanco.
Postion	Tokenization
1	Salió
2	del
3	vestuario
4	,
5	metió
6	precipitadamente
7	ropa
8	y
9	zapatos
10	revueltos
11	en
12	el
13	armario
14	y
15	corrió
16	hacia
17	el
18	mar
19	,
20	que
21	iba
22	y
23	venía
24	como
25	una
26	rugiente
27	marea
28	de
29	añil
30	y
31	blanco
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Salió	VERB	0	root
2	del	ADP	3	case
3	vestuario	NOUN	1	obl
4	,	PUNCT	5	punct
5	metió	VERB	1	advcl
6	precipitadamente	ADV	5	advmod
7	ropa	NOUN	5	obj
8	y	CCONJ	9	cc
9	zapatos	NOUN	7	conj
10	revueltos	ADJ	7	amod
11	en	ADP	13	case
12	el	DET	13	det
13	armario	NOUN	5	obl
14	y	CCONJ	15	cc
15	corrió	VERB	1	conj
16	hacia	ADP	18	case
17	el	DET	18	det
18	mar	NOUN	15	obl
19	,	PUNCT	21	punct
20	que	PRON	21	nsubj
21	iba	VERB	18	acl
22	y	CCONJ	23	cc
23	venía	VERB	21	conj
24	como	ADP	27	case
25	una	DET	27	det
26	rugiente	ADJ	27	amod
27	marea	NOUN	21	obl
28	de	ADP	29	case
29	añil	NOUN	27	nmod
30	y	CCONJ	31	cc
31	blanco	NOUN	29	conj
32	.	PUNCT	1	punct