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:
Podle jeho informací totiž prezidentova manželka, Rosane Collorová (28), zpronevěřila více než miliardu cruzeiros (asi 175000 dolarů) z nejvýznamnější charitativní organizace, kterou před časem spravovala.
Postion	Tokenization
1	Podle
2	jeho
3	informací
4	totiž
5	prezidentova
6	manželka
7	,
8	Rosane
9	Collorová
10	(
11	28
12	)
13	,
14	zpronevěřila
15	více
16	než
17	miliardu
18	cruzeiros
19	(
20	asi
21	175000
22	dolarů
23	)
24	z
25	nejvýznamnější
26	charitativní
27	organizace
28	,
29	kterou
30	před
31	časem
32	spravovala
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Podle	ADP	3	case
2	jeho	DET	3	det
3	informací	NOUN	14	obl
4	totiž	ADV	14	advmod
5	prezidentova	ADJ	6	amod
6	manželka	NOUN	14	nsubj
7	,	PUNCT	8	punct
8	Rosane	PROPN	6	appos
9	Collorová	PROPN	8	flat
10	(	PUNCT	11	punct
11	28	NUM	6	dep
12	)	PUNCT	11	punct
13	,	PUNCT	6	punct
14	zpronevěřila	VERB	0	root
15	více	ADV	14	obj
16	než	SCONJ	17	mark
17	miliardu	NOUN	15	obl
18	cruzeiros	NOUN	15	nmod
19	(	PUNCT	21	punct
20	asi	PART	21	advmod:emph
21	175000	NUM	22	nummod:gov
22	dolarů	NOUN	15	appos
23	)	PUNCT	15	punct
24	z	ADP	27	case
25	nejvýznamnější	ADJ	27	amod
26	charitativní	ADJ	27	amod
27	organizace	NOUN	15	nmod
28	,	PUNCT	32	punct
29	kterou	DET	32	obj
30	před	ADP	31	case
31	časem	NOUN	32	obl
32	spravovala	VERB	27	acl:relcl
33	.	PUNCT	14	punct