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 text: Prohlásil to v nedělním televizním vystoupení brazilský prezident Fernando Collor de Mello (43), muž, který již několik měsíců poutá pozornost světového tisku kvůli korupčnímu skandálu, do něhož je údajně zapleten.
Position	Tokenization	UPOS	Head	Deprel
1	Prohlásil	VERB	0	root
2	to	DET	1	obj
3	v	ADP	6	case
4	nedělním	ADJ	6	amod
5	televizním	ADJ	6	amod
6	vystoupení	NOUN	1	obl
7	brazilský	ADJ	8	amod
8	prezident	NOUN	1	nsubj
9	Fernando	PROPN	8	flat
10	Collor	PROPN	8	flat
11	de	ADP	8	flat
12	Mello	PROPN	8	flat
13	(	PUNCT	8	punct
14	43	NUM	8	dep
15	)	PUNCT	8	punct
16	,	PUNCT	17	punct
17	muž	NOUN	8	appos
18	,	PUNCT	23	punct
19	který	DET	23	nsubj
20	již	ADV	21	advmod:emph
21	několik	DET	22	det:numgov
22	měsíců	NOUN	23	obl
23	poutá	VERB	17	acl:relcl
24	pozornost	NOUN	23	obj
25	světového	ADJ	26	amod
26	tisku	NOUN	24	nmod
27	kvůli	ADP	29	case
28	korupčnímu	ADJ	29	amod
29	skandálu	NOUN	23	obl
30	,	PUNCT	35	punct
31	do	ADP	32	case
32	něhož	PRON	35	obl
33	je	AUX	35	cop
34	údajně	ADV	35	advmod
35	zapleten	ADJ	29	acl:relcl
36	.	PUNCT	1	punct