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:
El asesor de prensa de Ronaldo, Rodrigo Paiva, dijo a periodistas que el citado helicóptero fue revisado al aterrizar por agentes de la Receita Federal (fisco), contrario a las informaciones difundidas en la época por algunos medios brasileños.
Postion	Tokenization
1	El
2	asesor
3	de
4	prensa
5	de
6	Ronaldo
7	,
8	Rodrigo
9	Paiva
10	,
11	dijo
12	a
13	periodistas
14	que
15	el
16	citado
17	helicóptero
18	fue
19	revisado
20	al
21	aterrizar
22	por
23	agentes
24	de
25	la
26	Receita
27	Federal
28	(
29	fisco
30	)
31	,
32	contrario
33	a
34	las
35	informaciones
36	difundidas
37	en
38	la
39	época
40	por
41	algunos
42	medios
43	brasileños
44	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	asesor	NOUN	11	nsubj
3	de	ADP	4	case
4	prensa	NOUN	2	nmod
5	de	ADP	6	case
6	Ronaldo	PROPN	4	nmod
7	,	PUNCT	8	punct
8	Rodrigo	PROPN	2	appos
9	Paiva	PROPN	8	flat
10	,	PUNCT	8	punct
11	dijo	VERB	0	root
12	a	ADP	13	case
13	periodistas	NOUN	11	iobj
14	que	SCONJ	19	mark
15	el	DET	17	det
16	citado	ADJ	17	amod
17	helicóptero	NOUN	19	nsubj
18	fue	AUX	19	aux
19	revisado	VERB	11	ccomp
20	al	ADP	21	mark
21	aterrizar	VERB	19	advcl
22	por	ADP	23	case
23	agentes	NOUN	19	obj
24	de	ADP	26	case
25	la	DET	26	det
26	Receita	PROPN	23	nmod
27	Federal	PROPN	26	flat
28	(	PUNCT	29	punct
29	fisco	NOUN	26	appos
30	)	PUNCT	29	punct
31	,	PUNCT	32	punct
32	contrario	ADJ	11	advmod
33	a	ADP	35	case
34	las	DET	35	det
35	informaciones	NOUN	32	nmod
36	difundidas	ADJ	35	amod
37	en	ADP	39	case
38	la	DET	39	det
39	época	NOUN	36	obl
40	por	ADP	42	case
41	algunos	DET	42	det
42	medios	NOUN	36	obj
43	brasileños	ADJ	42	amod
44	.	PUNCT	11	punct