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:
La estadounidense, que comenzó como una brillante jugadora de baloncesto, vio cortada su racha en 1998 cuando, tras 38 pruebas invicta, cayó en la última competición del año ante la alemana Heike Drechsler; y la italiana perdió el oro en Sevilla'99 por un polémico salto de Montalvo, que incluso provocó la reclamación de la delegación de su país.
Postion	Tokenization
1	La
2	estadounidense
3	,
4	que
5	comenzó
6	como
7	una
8	brillante
9	jugadora
10	de
11	baloncesto
12	,
13	vio
14	cortada
15	su
16	racha
17	en
18	1998
19	cuando
20	,
21	tras
22	38
23	pruebas
24	invicta
25	,
26	cayó
27	en
28	la
29	última
30	competición
31	del
32	año
33	ante
34	la
35	alemana
36	Heike
37	Drechsler
38	;
39	y
40	la
41	italiana
42	perdió
43	el
44	oro
45	en
46	Sevilla'99
47	por
48	un
49	polémico
50	salto
51	de
52	Montalvo
53	,
54	que
55	incluso
56	provocó
57	la
58	reclamación
59	de
60	la
61	delegación
62	de
63	su
64	país
65	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	estadounidense	NOUN	13	nsubj
3	,	PUNCT	5	punct
4	que	PRON	5	nsubj
5	comenzó	VERB	2	acl
6	como	SCONJ	9	mark
7	una	DET	9	det
8	brillante	ADJ	9	amod
9	jugadora	NOUN	5	obj
10	de	ADP	11	case
11	baloncesto	NOUN	9	nmod
12	,	PUNCT	5	punct
13	vio	VERB	0	root
14	cortada	ADJ	13	obj
15	su	DET	16	det
16	racha	NOUN	13	obj
17	en	ADP	18	case
18	1998	NOUN	13	obl
19	cuando	SCONJ	26	mark
20	,	PUNCT	23	punct
21	tras	ADP	23	case
22	38	NUM	23	nummod
23	pruebas	NOUN	26	obl
24	invicta	ADJ	26	obj
25	,	PUNCT	24	punct
26	cayó	VERB	13	advcl
27	en	ADP	30	case
28	la	DET	30	det
29	última	ADJ	30	amod
30	competición	NOUN	26	obl
31	del	ADP	32	case
32	año	NOUN	30	nmod
33	ante	ADP	36	case
34	la	DET	36	det
35	alemana	ADJ	36	amod
36	Heike	PROPN	26	obl
37	Drechsler	PROPN	36	flat
38	;	PUNCT	42	punct
39	y	CCONJ	42	cc
40	la	DET	41	det
41	italiana	NOUN	42	nsubj
42	perdió	VERB	13	conj
43	el	DET	44	det
44	oro	NOUN	42	obj
45	en	ADP	46	case
46	Sevilla'99	PROPN	42	obl
47	por	ADP	50	case
48	un	DET	50	det
49	polémico	ADJ	50	amod
50	salto	NOUN	42	obl
51	de	ADP	52	case
52	Montalvo	PROPN	50	nmod
53	,	PUNCT	56	punct
54	que	PRON	56	nsubj
55	incluso	ADV	56	advmod
56	provocó	VERB	50	acl
57	la	DET	58	det
58	reclamación	NOUN	56	obj
59	de	ADP	61	case
60	la	DET	61	det
61	delegación	NOUN	58	nmod
62	de	ADP	64	case
63	su	DET	64	det
64	país	NOUN	61	nmod
65	.	PUNCT	13	punct