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:
Los juegos Olímpicos de Sydney, inaugurados con gran brillantez el 15 de septiembre por el presidente Samaranch, se tiñeron de luto por la muerte de la esposa del dirigente, que tuvo que regresar a Barcelona entre las lágrimas de tristeza y la alegría de unos JJ.OO. que levantaron su telón con una de las ceremonias más espectaculares de la historia.
Postion	Tokenization
1	Los
2	juegos
3	Olímpicos
4	de
5	Sydney
6	,
7	inaugurados
8	con
9	gran
10	brillantez
11	el
12	15
13	de
14	septiembre
15	por
16	el
17	presidente
18	Samaranch
19	,
20	se
21	tiñeron
22	de
23	luto
24	por
25	la
26	muerte
27	de
28	la
29	esposa
30	del
31	dirigente
32	,
33	que
34	tuvo
35	que
36	regresar
37	a
38	Barcelona
39	entre
40	las
41	lágrimas
42	de
43	tristeza
44	y
45	la
46	alegría
47	de
48	unos
49	JJ.OO.
50	que
51	levantaron
52	su
53	telón
54	con
55	una
56	de
57	las
58	ceremonias
59	más
60	espectaculares
61	de
62	la
63	historia
64	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	juegos	PROPN	21	nsubj
3	Olímpicos	PROPN	2	flat
4	de	ADP	5	case
5	Sydney	PROPN	2	nmod
6	,	PUNCT	7	punct
7	inaugurados	ADJ	2	amod
8	con	ADP	10	case
9	gran	ADJ	10	amod
10	brillantez	NOUN	7	obl
11	el	DET	12	det
12	15	NUM	7	obl
13	de	ADP	14	case
14	septiembre	NOUN	12	compound
15	por	ADP	17	case
16	el	DET	17	det
17	presidente	NOUN	7	obj
18	Samaranch	PROPN	17	appos
19	,	PUNCT	7	punct
20	se	PRON	21	expl:pass
21	tiñeron	VERB	0	root
22	de	ADP	23	case
23	luto	NOUN	21	obl
24	por	ADP	26	case
25	la	DET	26	det
26	muerte	NOUN	21	obl
27	de	ADP	29	case
28	la	DET	29	det
29	esposa	NOUN	26	nmod
30	del	ADP	31	case
31	dirigente	NOUN	29	nmod
32	,	PUNCT	34	punct
33	que	PRON	36	nsubj
34	tuvo	VERB	31	acl
35	que	SCONJ	36	cc
36	regresar	VERB	34	conj
37	a	ADP	38	case
38	Barcelona	PROPN	36	obl
39	entre	ADP	41	case
40	las	DET	41	det
41	lágrimas	NOUN	36	obl
42	de	ADP	43	case
43	tristeza	NOUN	41	nmod
44	y	CCONJ	46	cc
45	la	DET	46	det
46	alegría	NOUN	41	conj
47	de	ADP	49	case
48	unos	DET	49	det
49	JJ.OO.	PROPN	46	nmod
50	que	PRON	51	nsubj
51	levantaron	VERB	49	acl
52	su	DET	53	det
53	telón	NOUN	51	obj
54	con	ADP	55	case
55	una	DET	51	det
56	de	ADP	55	case
57	las	DET	58	det
58	ceremonias	NOUN	55	obl
59	más	ADV	60	advmod
60	espectaculares	ADJ	58	amod
61	de	ADP	63	case
62	la	DET	63	det
63	historia	NOUN	60	nmod
64	.	PUNCT	21	punct