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:
Rubens Ricupero, brazilský ministr financí, nabídl včera demisi poté, co byl tajně natočeným rozhovorem usvědčen z machinací s údaji ve prospěch vládou podporovaného kandidáta Fernanda Cardosa v blížících se prezidentských volbách.
Postion	Tokenization
1	Rubens
2	Ricupero
3	,
4	brazilský
5	ministr
6	financí
7	,
8	nabídl
9	včera
10	demisi
11	poté
12	,
13	co
14	byl
15	tajně
16	natočeným
17	rozhovorem
18	usvědčen
19	z
20	machinací
21	s
22	údaji
23	ve
24	prospěch
25	vládou
26	podporovaného
27	kandidáta
28	Fernanda
29	Cardosa
30	v
31	blížících
32	se
33	prezidentských
34	volbách
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Rubens	PROPN	8	nsubj
2	Ricupero	PROPN	1	flat
3	,	PUNCT	5	punct
4	brazilský	ADJ	5	amod
5	ministr	NOUN	1	appos
6	financí	NOUN	5	nmod
7	,	PUNCT	5	punct
8	nabídl	VERB	0	root
9	včera	ADV	8	advmod
10	demisi	NOUN	8	obj
11	poté	ADV	8	advmod
12	,	PUNCT	18	punct
13	co	SCONJ	18	mark
14	byl	AUX	18	aux:pass
15	tajně	ADV	16	advmod
16	natočeným	ADJ	17	amod
17	rozhovorem	NOUN	18	obl
18	usvědčen	ADJ	8	obl
19	z	ADP	20	case
20	machinací	NOUN	18	obl:arg
21	s	ADP	22	case
22	údaji	NOUN	20	nmod
23	ve	ADP	27	case
24	prospěch	NOUN	23	fixed
25	vládou	NOUN	26	obl:arg
26	podporovaného	ADJ	27	amod
27	kandidáta	NOUN	22	nmod
28	Fernanda	PROPN	27	flat
29	Cardosa	PROPN	27	flat
30	v	ADP	34	case
31	blížících	ADJ	34	amod
32	se	PRON	31	expl:pv
33	prezidentských	ADJ	34	amod
34	volbách	NOUN	20	nmod
35	.	PUNCT	8	punct