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:
Curiosamente, los únicos partidos del preolímpico que Brasil no ganó fueron también los únicos en que el joven Ronaldinho Gaúcho no se hizo presente en el marcador.
Postion	Tokenization
1	Curiosamente
2	,
3	los
4	únicos
5	partidos
6	del
7	preolímpico
8	que
9	Brasil
10	no
11	ganó
12	fueron
13	también
14	los
15	únicos
16	en
17	que
18	el
19	joven
20	Ronaldinho
21	Gaúcho
22	no
23	se
24	hizo
25	presente
26	en
27	el
28	marcador
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Curiosamente	ADV	12	advmod
2	,	PUNCT	1	punct
3	los	DET	5	det
4	únicos	ADJ	5	amod
5	partidos	NOUN	12	nsubj
6	del	ADP	7	case
7	preolímpico	ADJ	5	amod
8	que	PRON	11	obj
9	Brasil	PROPN	11	nsubj
10	no	ADV	11	advmod
11	ganó	VERB	5	acl
12	fueron	AUX	0	root
13	también	ADV	12	advmod
14	los	DET	24	det
15	únicos	ADJ	24	amod
16	en	ADP	17	case
17	que	PRON	24	obl
18	el	DET	19	det
19	joven	NOUN	24	nsubj
20	Ronaldinho	PROPN	19	appos
21	Gaúcho	PROPN	20	flat
22	no	ADV	24	advmod
23	se	PRON	24	iobj
24	hizo	VERB	12	ccomp
25	presente	ADJ	24	obj
26	en	ADP	28	case
27	el	DET	28	det
28	marcador	NOUN	24	obl
29	.	PUNCT	12	punct