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:
Debemos mejorar la respuesta del motor en bajos ", afirmó Auriol tras comprobar el comportamiento de su coche en la pequeña pista de tierra que posee Seat en su Centro Técnico de Martorell.
Postion	Tokenization
1	Debemos
2	mejorar
3	la
4	respuesta
5	del
6	motor
7	en
8	bajos
9	"
10	,
11	afirmó
12	Auriol
13	tras
14	comprobar
15	el
16	comportamiento
17	de
18	su
19	coche
20	en
21	la
22	pequeña
23	pista
24	de
25	tierra
26	que
27	posee
28	Seat
29	en
30	su
31	Centro
32	Técnico
33	de
34	Martorell
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Debemos	AUX	2	aux
2	mejorar	VERB	11	xcomp
3	la	DET	4	det
4	respuesta	NOUN	2	obj
5	del	ADP	6	case
6	motor	NOUN	4	nmod
7	en	ADP	8	case
8	bajos	ADJ	2	advmod
9	"	PUNCT	2	punct
10	,	PUNCT	2	punct
11	afirmó	VERB	0	root
12	Auriol	PROPN	11	nsubj
13	tras	ADP	14	mark
14	comprobar	VERB	11	advcl
15	el	DET	16	det
16	comportamiento	NOUN	14	obj
17	de	ADP	19	case
18	su	DET	19	det
19	coche	NOUN	16	nmod
20	en	ADP	23	case
21	la	DET	23	det
22	pequeña	ADJ	23	amod
23	pista	NOUN	14	obl
24	de	ADP	25	case
25	tierra	NOUN	23	nmod
26	que	PRON	27	obj
27	posee	VERB	23	acl
28	Seat	PROPN	27	nsubj
29	en	ADP	31	case
30	su	DET	31	det
31	Centro	PROPN	27	obl
32	Técnico	PROPN	31	flat
33	de	ADP	34	case
34	Martorell	PROPN	31	flat
35	.	PUNCT	11	punct