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:
El director general de Citroen se mostró confiado en el crecimiento del área Mercosur, actualmente con una cuota de mercado "muy baja", del 3 por ciento.
Postion	Tokenization
1	El
2	director
3	general
4	de
5	Citroen
6	se
7	mostró
8	confiado
9	en
10	el
11	crecimiento
12	del
13	área
14	Mercosur
15	,
16	actualmente
17	con
18	una
19	cuota
20	de
21	mercado
22	"
23	muy
24	baja
25	"
26	,
27	del
28	3
29	por
30	ciento
31	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	director	NOUN	7	nsubj
3	general	ADJ	2	amod
4	de	ADP	5	case
5	Citroen	PROPN	2	nmod
6	se	PRON	7	expl:pv
7	mostró	VERB	0	root
8	confiado	ADJ	7	obj
9	en	ADP	11	case
10	el	DET	11	det
11	crecimiento	NOUN	8	obj
12	del	ADP	13	case
13	área	NOUN	11	nmod
14	Mercosur	PROPN	13	appos
15	,	PUNCT	16	punct
16	actualmente	ADV	13	advmod
17	con	ADP	16	case
18	una	DET	19	det
19	cuota	NOUN	16	nmod
20	de	ADP	21	case
21	mercado	NOUN	19	nmod
22	"	PUNCT	24	punct
23	muy	ADV	24	advmod
24	baja	ADJ	19	amod
25	"	PUNCT	24	punct
26	,	PUNCT	28	punct
27	del	ADP	28	case
28	3	NUM	19	nummod
29	por	ADP	30	case
30	ciento	NUM	28	compound
31	.	PUNCT	7	punct