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:
No se le ve, parece que no juegue, pero siempre está ahí para ejecutar al rival con una picada rápida que anula cualquier posibilidad de administrar un antídoto.
Postion	Tokenization
1	No
2	se
3	le
4	ve
5	,
6	parece
7	que
8	no
9	juegue
10	,
11	pero
12	siempre
13	está
14	ahí
15	para
16	ejecutar
17	al
18	rival
19	con
20	una
21	picada
22	rápida
23	que
24	anula
25	cualquier
26	posibilidad
27	de
28	administrar
29	un
30	antídoto
31	.
Position	Tokenization	UPOS	Head	Deprel
1	No	ADV	4	advmod
2	se	PRON	4	expl:impers
3	le	PRON	4	obj
4	ve	VERB	0	root
5	,	PUNCT	6	punct
6	parece	VERB	4	advcl
7	que	SCONJ	9	mark
8	no	ADV	9	advmod
9	juegue	VERB	6	ccomp
10	,	PUNCT	6	punct
11	pero	CCONJ	13	cc
12	siempre	ADV	13	advmod
13	está	VERB	4	conj
14	ahí	ADV	13	advmod
15	para	ADP	16	mark
16	ejecutar	VERB	13	advcl
17	al	ADP	18	case
18	rival	NOUN	16	obj
19	con	ADP	21	case
20	una	DET	21	det
21	picada	NOUN	16	obl
22	rápida	ADJ	21	amod
23	que	PRON	24	nsubj
24	anula	VERB	21	acl
25	cualquier	DET	26	det
26	posibilidad	NOUN	24	obj
27	de	ADP	28	mark
28	administrar	VERB	26	acl
29	un	DET	30	det
30	antídoto	NOUN	28	obj
31	.	PUNCT	4	punct