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:
Magnus Norman, finalista de la cita francesa y primer cabeza de serie en Stuttgart, se impuso al alemán Bjoern Phau por un doble 6-2, mientras que el argentino Franco Squillari, semifinalista en París y quinto favorito en Alemania, accedió a la segunda ronda al ganar al chileno Fernando González por 6-1 y 6-3.
Postion	Tokenization
1	Magnus
2	Norman
3	,
4	finalista
5	de
6	la
7	cita
8	francesa
9	y
10	primer
11	cabeza
12	de
13	serie
14	en
15	Stuttgart
16	,
17	se
18	impuso
19	al
20	alemán
21	Bjoern
22	Phau
23	por
24	un
25	doble
26	6-2
27	,
28	mientras
29	que
30	el
31	argentino
32	Franco
33	Squillari
34	,
35	semifinalista
36	en
37	París
38	y
39	quinto
40	favorito
41	en
42	Alemania
43	,
44	accedió
45	a
46	la
47	segunda
48	ronda
49	al
50	ganar
51	al
52	chileno
53	Fernando
54	González
55	por
56	6-1
57	y
58	6-3
59	.
Position	Tokenization	UPOS	Head	Deprel
1	Magnus	PROPN	18	nsubj
2	Norman	PROPN	1	flat
3	,	PUNCT	4	punct
4	finalista	ADJ	1	amod
5	de	ADP	7	case
6	la	DET	7	det
7	cita	NOUN	4	nmod
8	francesa	ADJ	7	amod
9	y	CCONJ	11	cc
10	primer	ADJ	11	amod
11	cabeza	NOUN	4	conj
12	de	ADP	13	case
13	serie	NOUN	11	compound
14	en	ADP	15	case
15	Stuttgart	PROPN	11	nmod
16	,	PUNCT	4	punct
17	se	PRON	18	expl:pv
18	impuso	VERB	28	parataxis
19	al	ADP	21	case
20	alemán	ADJ	21	amod
21	Bjoern	PROPN	18	obj
22	Phau	PROPN	21	flat
23	por	ADP	26	case
24	un	DET	26	det
25	doble	ADJ	26	amod
26	6-2	NUM	18	obl
27	,	PUNCT	28	punct
28	mientras	CCONJ	0	root
29	que	SCONJ	28	fixed
30	el	DET	32	det
31	argentino	ADJ	32	amod
32	Franco	PROPN	44	nsubj
33	Squillari	PROPN	32	flat
34	,	PUNCT	35	punct
35	semifinalista	ADJ	32	amod
36	en	ADP	37	case
37	París	PROPN	35	nmod
38	y	CCONJ	40	cc
39	quinto	ADJ	40	amod
40	favorito	ADJ	35	conj
41	en	ADP	42	case
42	Alemania	PROPN	40	nmod
43	,	PUNCT	35	punct
44	accedió	VERB	28	parataxis
45	a	ADP	48	case
46	la	DET	48	det
47	segunda	ADJ	48	amod
48	ronda	NOUN	44	obj
49	al	ADP	50	mark
50	ganar	VERB	44	advcl
51	al	ADP	52	case
52	chileno	ADJ	50	obj
53	Fernando	PROPN	52	obj
54	González	PROPN	53	flat
55	por	ADP	56	case
56	6-1	NUM	50	obl
57	y	CCONJ	58	cc
58	6-3	NUM	56	conj
59	.	PUNCT	28	punct