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:
Por su parte, el capitán brasileño, Ricardo Acioly, ha vuelto a confiar en Kuerten y Fernando Meligeni para enfrentarse al equipo "aussie".
Postion	Tokenization
1	Por
2	su
3	parte
4	,
5	el
6	capitán
7	brasileño
8	,
9	Ricardo
10	Acioly
11	,
12	ha
13	vuelto
14	a
15	confiar
16	en
17	Kuerten
18	y
19	Fernando
20	Meligeni
21	para
22	enfrentarse
23	enfrentar
24	se
25	al
26	equipo
27	"
28	aussie
29	"
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Por	ADP	3	case
2	su	DET	3	det
3	parte	NOUN	13	obl
4	,	PUNCT	3	punct
5	el	DET	6	det
6	capitán	NOUN	13	nsubj
7	brasileño	ADJ	6	amod
8	,	PUNCT	9	punct
9	Ricardo	PROPN	6	appos
10	Acioly	PROPN	9	flat
11	,	PUNCT	9	punct
12	ha	AUX	13	aux
13	vuelto	VERB	0	root
14	a	ADP	15	mark
15	confiar	VERB	13	xcomp
16	en	ADP	17	case
17	Kuerten	PROPN	13	obj
18	y	CCONJ	19	cc
19	Fernando	PROPN	17	conj
20	Meligeni	PROPN	19	flat
21	para	ADP	22	mark
22	enfrentarse	_	None	_
23	enfrentar	VERB	15	advcl
24	se	PRON	22	expl:pv
25	al	ADP	25	case
26	equipo	NOUN	22	obj
27	"	PUNCT	27	punct
28	aussie	NOUN	25	nmod
29	"	PUNCT	27	punct
30	.	PUNCT	13	punct