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:
Tras opinar que la disputa del Mundial de fútbol 2002, coorganizado por Japón y Corea del Sur, será un factor favorable, indicó que las inversiones "no rebasarán, por ejemplo, el nivel de Atlanta".
Postion	Tokenization
1	Tras
2	opinar
3	que
4	la
5	disputa
6	del
7	Mundial
8	de
9	fútbol
10	2002
11	,
12	coorganizado
13	por
14	Japón
15	y
16	Corea
17	del
18	Sur
19	,
20	será
21	un
22	factor
23	favorable
24	,
25	indicó
26	que
27	las
28	inversiones
29	"
30	no
31	rebasarán
32	,
33	por
34	ejemplo
35	,
36	el
37	nivel
38	de
39	Atlanta
40	"
41	.
Position	Tokenization	UPOS	Head	Deprel
1	Tras	ADP	2	mark
2	opinar	VERB	25	advcl
3	que	SCONJ	22	mark
4	la	DET	5	det
5	disputa	NOUN	22	nsubj
6	del	ADP	7	case
7	Mundial	PROPN	5	nmod
8	de	ADP	9	case
9	fútbol	NOUN	7	nmod
10	2002	NOUN	7	appos
11	,	PUNCT	12	punct
12	coorganizado	ADJ	7	amod
13	por	ADP	14	case
14	Japón	PROPN	12	obj
15	y	CCONJ	16	cc
16	Corea	PROPN	14	conj
17	del	ADP	18	case
18	Sur	PROPN	16	flat
19	,	PUNCT	12	punct
20	será	AUX	22	cop
21	un	DET	22	det
22	factor	NOUN	2	ccomp
23	favorable	ADJ	22	amod
24	,	PUNCT	22	punct
25	indicó	VERB	0	root
26	que	SCONJ	31	mark
27	las	DET	28	det
28	inversiones	NOUN	31	nsubj
29	"	PUNCT	31	punct
30	no	ADV	31	advmod
31	rebasarán	VERB	25	ccomp
32	,	PUNCT	33	punct
33	por	ADP	37	advmod
34	ejemplo	NOUN	33	fixed
35	,	PUNCT	33	punct
36	el	DET	37	det
37	nivel	NOUN	31	obj
38	de	ADP	39	case
39	Atlanta	PROPN	37	nmod
40	"	PUNCT	31	punct
41	.	PUNCT	25	punct