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:
Brazilská dvojice Mattar, Oncins, která ve čtvrtfinále překvapivě vyřadila Němce (doma na pomalé antuce), ovšem hýří sebevědomím.
Postion	Tokenization
1	Brazilská
2	dvojice
3	Mattar
4	,
5	Oncins
6	,
7	která
8	ve
9	čtvrtfinále
10	překvapivě
11	vyřadila
12	Němce
13	(
14	doma
15	na
16	pomalé
17	antuce
18	)
19	,
20	ovšem
21	hýří
22	sebevědomím
23	.
Position	Tokenization	UPOS	Head	Deprel
1	Brazilská	ADJ	2	amod
2	dvojice	NOUN	21	nsubj
3	Mattar	PROPN	2	nmod
4	,	PUNCT	5	punct
5	Oncins	PROPN	3	conj
6	,	PUNCT	11	punct
7	která	DET	11	nsubj
8	ve	ADP	9	case
9	čtvrtfinále	NOUN	11	obl
10	překvapivě	ADV	11	advmod
11	vyřadila	VERB	2	acl:relcl
12	Němce	PROPN	11	obj
13	(	PUNCT	11	punct
14	doma	ADV	11	advmod
15	na	ADP	17	case
16	pomalé	ADJ	17	amod
17	antuce	NOUN	11	obl
18	)	PUNCT	11	punct
19	,	PUNCT	11	punct
20	ovšem	CCONJ	21	cc
21	hýří	VERB	0	root
22	sebevědomím	NOUN	21	obl
23	.	PUNCT	21	punct