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:
Y aquí, mientras esperamos el derbi del Sábado, de aburridos que estamos decidimos calentar motores, como esos muchachos de Texas que casi pierden el conocimiento corriendo a 400 kms/h.
Postion	Tokenization
1	Y
2	aquí
3	,
4	mientras
5	esperamos
6	el
7	derbi
8	del
9	Sábado
10	,
11	de
12	aburridos
13	que
14	estamos
15	decidimos
16	calentar
17	motores
18	,
19	como
20	esos
21	muchachos
22	de
23	Texas
24	que
25	casi
26	pierden
27	el
28	conocimiento
29	corriendo
30	a
31	400
32	kms/h
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Y	CCONJ	15	advmod
2	aquí	ADV	15	advmod
3	,	PUNCT	5	punct
4	mientras	SCONJ	5	mark
5	esperamos	VERB	15	advcl
6	el	DET	7	det
7	derbi	NOUN	5	obj
8	del	ADP	9	case
9	Sábado	NOUN	7	nmod
10	,	PUNCT	5	punct
11	de	ADP	12	mark
12	aburridos	ADJ	15	advcl
13	que	SCONJ	12	mark
14	estamos	AUX	12	cop
15	decidimos	VERB	0	root
16	calentar	VERB	15	xcomp
17	motores	NOUN	16	obj
18	,	PUNCT	21	punct
19	como	SCONJ	21	mark
20	esos	DET	21	det
21	muchachos	NOUN	16	obl
22	de	ADP	23	case
23	Texas	PROPN	21	nmod
24	que	PRON	26	nsubj
25	casi	ADV	26	advmod
26	pierden	VERB	21	acl
27	el	DET	28	det
28	conocimiento	NOUN	26	obj
29	corriendo	VERB	26	advcl
30	a	ADP	32	case
31	400	NUM	32	nummod
32	kms/h	NUM	29	obl
33	.	PUNCT	15	punct