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:
España se mantendrá en los próximos años como segundo mercado mundial para Citroen, el fabricante francés del grupo PSA, según cálculos de su director general, Claude Satinet, quien prevé un crecimiento de la marca en torno al 50 por ciento en los próximos seis ejercicios en todo el mundo.
Postion	Tokenization
1	España
2	se
3	mantendrá
4	en
5	los
6	próximos
7	años
8	como
9	segundo
10	mercado
11	mundial
12	para
13	Citroen
14	,
15	el
16	fabricante
17	francés
18	del
19	grupo
20	PSA
21	,
22	según
23	cálculos
24	de
25	su
26	director
27	general
28	,
29	Claude
30	Satinet
31	,
32	quien
33	prevé
34	un
35	crecimiento
36	de
37	la
38	marca
39	en
40	torno
41	al
42	50
43	por
44	ciento
45	en
46	los
47	próximos
48	seis
49	ejercicios
50	en
51	todo
52	el
53	mundo
54	.
Position	Tokenization	UPOS	Head	Deprel
1	España	PROPN	3	nsubj
2	se	PRON	3	obj
3	mantendrá	VERB	0	root
4	en	ADP	7	case
5	los	DET	7	det
6	próximos	ADJ	7	amod
7	años	NOUN	3	obl
8	como	SCONJ	10	mark
9	segundo	ADJ	10	amod
10	mercado	NOUN	3	obl
11	mundial	ADJ	10	amod
12	para	ADP	13	case
13	Citroen	PROPN	10	nmod
14	,	PUNCT	16	punct
15	el	DET	16	det
16	fabricante	NOUN	13	appos
17	francés	ADJ	16	amod
18	del	ADP	19	case
19	grupo	NOUN	16	nmod
20	PSA	PROPN	19	appos
21	,	PUNCT	16	punct
22	según	ADP	23	case
23	cálculos	NOUN	3	obl
24	de	ADP	26	case
25	su	DET	26	det
26	director	NOUN	23	nmod
27	general	ADJ	26	amod
28	,	PUNCT	29	punct
29	Claude	PROPN	26	appos
30	Satinet	PROPN	29	flat
31	,	PUNCT	29	punct
32	quien	PRON	33	nsubj
33	prevé	VERB	26	acl
34	un	DET	35	det
35	crecimiento	NOUN	33	obj
36	de	ADP	38	case
37	la	DET	38	det
38	marca	NOUN	35	nmod
39	en	ADP	42	case
40	torno	NOUN	39	fixed
41	al	ADP	39	fixed
42	50	NUM	35	nummod
43	por	ADP	44	case
44	ciento	NUM	42	compound
45	en	ADP	49	case
46	los	DET	47	det
47	próximos	NOUN	49	nmod
48	seis	NUM	47	nummod
49	ejercicios	NOUN	33	obl
50	en	ADP	53	case
51	todo	DET	52	det
52	el	DET	53	det
53	mundo	NOUN	33	obl
54	.	PUNCT	3	punct