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:
Se enjuagó largo tiempo con agua tibia y sólo luego, de nuevo los ojos fijos en el espejo, sonrió.
Postion	Tokenization
1	Se
2	enjuagó
3	largo
4	tiempo
5	con
6	agua
7	tibia
8	y
9	sólo
10	luego
11	,
12	de
13	nuevo
14	los
15	ojos
16	fijos
17	en
18	el
19	espejo
20	,
21	sonrió
22	.
Position	Tokenization	UPOS	Head	Deprel
1	Se	PRON	2	iobj
2	enjuagó	VERB	0	root
3	largo	ADJ	4	amod
4	tiempo	NOUN	2	obl
5	con	ADP	6	case
6	agua	NOUN	2	obl
7	tibia	ADJ	6	amod
8	y	CCONJ	21	cc
9	sólo	ADV	10	advmod
10	luego	ADV	21	advmod
11	,	PUNCT	15	punct
12	de	ADP	15	advmod
13	nuevo	ADJ	12	fixed
14	los	DET	15	det
15	ojos	NOUN	21	obl
16	fijos	ADJ	15	amod
17	en	ADP	19	case
18	el	DET	19	det
19	espejo	NOUN	16	nmod
20	,	PUNCT	15	punct
21	sonrió	VERB	2	conj
22	.	PUNCT	2	punct