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 anfitriones le arrebataron el trofeo a los brasileños, en una final llena de goles (4-3), pero como gran consuelo Ronaldinho fue proclamado como el mejor jugador de la competición.
Postion	Tokenization
1	Los
2	anfitriones
3	le
4	arrebataron
5	el
6	trofeo
7	a
8	los
9	brasileños
10	,
11	en
12	una
13	final
14	llena
15	de
16	goles
17	(
18	4-3
19	)
20	,
21	pero
22	como
23	gran
24	consuelo
25	Ronaldinho
26	fue
27	proclamado
28	como
29	el
30	mejor
31	jugador
32	de
33	la
34	competición
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	anfitriones	NOUN	4	nsubj
3	le	PRON	4	obj
4	arrebataron	VERB	0	root
5	el	DET	6	det
6	trofeo	NOUN	4	obj
7	a	ADP	9	case
8	los	DET	9	det
9	brasileños	NOUN	4	obj
10	,	PUNCT	13	punct
11	en	ADP	13	case
12	una	DET	13	det
13	final	NOUN	4	obl
14	llena	ADJ	13	amod
15	de	ADP	16	case
16	goles	NOUN	14	nmod
17	(	PUNCT	18	punct
18	4-3	NUM	16	appos
19	)	PUNCT	18	punct
20	,	PUNCT	27	punct
21	pero	CCONJ	27	cc
22	como	SCONJ	24	mark
23	gran	ADJ	24	amod
24	consuelo	NOUN	27	obl
25	Ronaldinho	PROPN	27	nsubj
26	fue	AUX	27	aux
27	proclamado	VERB	4	conj
28	como	SCONJ	31	mark
29	el	DET	31	det
30	mejor	ADJ	31	amod
31	jugador	NOUN	27	obj
32	de	ADP	34	case
33	la	DET	34	det
34	competición	NOUN	31	nmod
35	.	PUNCT	4	punct