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:
Urban by se měl v zelenobílém dresu poprvé představit v zítřejším ligovém utkání na Viktorii Žižkov, kam však Severočeši přijedou bez znovuobjeveného kanonýra Mihálika.
Postion	Tokenization
1	Urban
2	by
3	se
4	měl
5	v
6	zelenobílém
7	dresu
8	poprvé
9	představit
10	v
11	zítřejším
12	ligovém
13	utkání
14	na
15	Viktorii
16	Žižkov
17	,
18	kam
19	však
20	Severočeši
21	přijedou
22	bez
23	znovuobjeveného
24	kanonýra
25	Mihálika
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Urban	PROPN	4	nsubj
2	by	AUX	4	aux
3	se	PRON	9	obj
4	měl	VERB	0	root
5	v	ADP	7	case
6	zelenobílém	ADJ	7	amod
7	dresu	NOUN	9	obl
8	poprvé	ADV	9	obl
9	představit	VERB	4	xcomp
10	v	ADP	13	case
11	zítřejším	ADJ	13	amod
12	ligovém	ADJ	13	amod
13	utkání	NOUN	9	obl
14	na	ADP	15	case
15	Viktorii	PROPN	13	nmod
16	Žižkov	PROPN	15	nmod
17	,	PUNCT	21	punct
18	kam	ADV	21	advmod
19	však	CCONJ	21	cc
20	Severočeši	PROPN	21	nsubj
21	přijedou	VERB	13	acl:relcl
22	bez	ADP	24	case
23	znovuobjeveného	ADJ	24	amod
24	kanonýra	NOUN	21	obl
25	Mihálika	PROPN	24	flat
26	.	PUNCT	4	punct