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:
"Este coche me gusta mucho", dijo el francés antes de abandonar Barcelona y después de visitar el departamento de competición de Seat Sport.
Postion	Tokenization
1	"
2	Este
3	coche
4	me
5	gusta
6	mucho
7	"
8	,
9	dijo
10	el
11	francés
12	antes
13	de
14	abandonar
15	Barcelona
16	y
17	después
18	de
19	visitar
20	el
21	departamento
22	de
23	competición
24	de
25	Seat
26	Sport
27	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	5	punct
2	Este	DET	3	det
3	coche	NOUN	5	nsubj
4	me	PRON	5	iobj
5	gusta	VERB	9	ccomp
6	mucho	ADV	5	advmod
7	"	PUNCT	5	punct
8	,	PUNCT	5	punct
9	dijo	VERB	0	root
10	el	DET	11	det
11	francés	NOUN	9	nsubj
12	antes	ADV	9	advmod
13	de	ADP	14	mark
14	abandonar	VERB	12	advcl
15	Barcelona	PROPN	14	obj
16	y	CCONJ	17	cc
17	después	ADV	12	conj
18	de	ADP	19	mark
19	visitar	VERB	17	advcl
20	el	DET	21	det
21	departamento	NOUN	19	obj
22	de	ADP	23	case
23	competición	NOUN	21	nmod
24	de	ADP	25	case
25	Seat	PROPN	21	nmod
26	Sport	PROPN	25	flat
27	.	PUNCT	9	punct