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:
A la vez que aumenta la fiebre por esos objetos únicos, el Comité Organizador de los Juegos Olímpicos de Sydney (SOCOG) aumenta sus arcas ya que obtendrá el 15 por ciento de las ganancias de la venta de los más de siete millones de broches olímpicos, además de las mascotas, camisetas y otras mercaderías con motivos olímpicos.
Postion	Tokenization
1	A
2	la
3	vez
4	que
5	aumenta
6	la
7	fiebre
8	por
9	esos
10	objetos
11	únicos
12	,
13	el
14	Comité
15	Organizador
16	de
17	los
18	Juegos
19	Olímpicos
20	de
21	Sydney
22	(
23	SOCOG
24	)
25	aumenta
26	sus
27	arcas
28	ya
29	que
30	obtendrá
31	el
32	15
33	por
34	ciento
35	de
36	las
37	ganancias
38	de
39	la
40	venta
41	de
42	los
43	más
44	de
45	siete
46	millones
47	de
48	broches
49	olímpicos
50	,
51	además
52	de
53	las
54	mascotas
55	,
56	camisetas
57	y
58	otras
59	mercaderías
60	con
61	motivos
62	olímpicos
63	.
Position	Tokenization	UPOS	Head	Deprel
1	A	ADP	5	mark
2	la	DET	1	fixed
3	vez	NOUN	1	fixed
4	que	SCONJ	1	fixed
5	aumenta	VERB	25	advcl
6	la	DET	7	det
7	fiebre	NOUN	5	nsubj
8	por	ADP	10	case
9	esos	DET	10	det
10	objetos	NOUN	7	nmod
11	únicos	ADJ	10	amod
12	,	PUNCT	5	punct
13	el	DET	14	det
14	Comité	PROPN	25	nsubj
15	Organizador	PROPN	14	flat
16	de	ADP	18	case
17	los	DET	18	det
18	Juegos	PROPN	14	flat
19	Olímpicos	PROPN	14	flat
20	de	ADP	21	case
21	Sydney	PROPN	14	flat
22	(	PUNCT	23	punct
23	SOCOG	PROPN	14	flat
24	)	PUNCT	23	punct
25	aumenta	VERB	0	root
26	sus	DET	27	det
27	arcas	NOUN	25	obj
28	ya	ADV	30	mark
29	que	SCONJ	28	fixed
30	obtendrá	VERB	25	advcl
31	el	DET	32	det
32	15	NUM	30	obj
33	por	ADP	34	case
34	ciento	NUM	32	compound
35	de	ADP	37	case
36	las	DET	37	det
37	ganancias	NOUN	32	nmod
38	de	ADP	40	case
39	la	DET	40	det
40	venta	NOUN	32	nmod
41	de	ADP	32	case
42	los	DET	46	det
43	más	ADV	42	advmod
44	de	ADP	42	case
45	siete	NUM	42	nummod
46	millones	NOUN	41	conj
47	de	ADP	48	case
48	broches	NOUN	46	nmod
49	olímpicos	ADJ	48	amod
50	,	PUNCT	54	punct
51	además	ADV	54	cc
52	de	ADP	51	fixed
53	las	DET	54	det
54	mascotas	NOUN	41	conj
55	,	PUNCT	56	punct
56	camisetas	NOUN	54	appos
57	y	CCONJ	59	cc
58	otras	DET	59	det
59	mercaderías	NOUN	54	conj
60	con	ADP	61	case
61	motivos	NOUN	54	nmod
62	olímpicos	ADJ	61	amod
63	.	PUNCT	25	punct