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:
"La llegada de Fischer es una señal de importancia sobre el trabajo que viene desarrollando el Gobierno brasileño", dijo Parente.
Postion	Tokenization
1	"
2	La
3	llegada
4	de
5	Fischer
6	es
7	una
8	señal
9	de
10	importancia
11	sobre
12	el
13	trabajo
14	que
15	viene
16	desarrollando
17	el
18	Gobierno
19	brasileño
20	"
21	,
22	dijo
23	Parente
24	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	8	punct
2	La	DET	3	det
3	llegada	NOUN	8	nsubj
4	de	ADP	5	case
5	Fischer	PROPN	3	nmod
6	es	AUX	8	cop
7	una	DET	8	det
8	señal	NOUN	22	ccomp
9	de	ADP	10	case
10	importancia	NOUN	8	nmod
11	sobre	ADP	13	case
12	el	DET	13	det
13	trabajo	NOUN	8	nmod
14	que	PRON	15	obj
15	viene	VERB	13	acl
16	desarrollando	VERB	15	xcomp
17	el	DET	18	det
18	Gobierno	PROPN	15	nsubj
19	brasileño	ADJ	18	amod
20	"	PUNCT	8	punct
21	,	PUNCT	8	punct
22	dijo	VERB	0	root
23	Parente	PROPN	22	nsubj
24	.	PUNCT	22	punct