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:
Například Ostrava: Myslím si, že není jenom černá, ale v mnoha ohledech podnikatelsky zajímavá a má mnoho šancí i co se týče oblasti cestovního ruchu".
Postion	Tokenization
1	Například
2	Ostrava
3	:
4	Myslím
5	si
6	,
7	že
8	není
9	jenom
10	černá
11	_
12	,
13	ale
14	v
15	mnoha
16	ohledech
17	podnikatelsky
18	zajímavá
19	a
20	má
21	mnoho
22	šancí
23	i
24	co
25	se
26	týče
27	oblasti
28	cestovního
29	ruchu
30	"
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Například	ADV	2	cc
2	Ostrava	PROPN	0	root
3	:	PUNCT	4	punct
4	Myslím	VERB	2	conj
5	si	PRON	4	expl:pv
6	,	PUNCT	10	punct
7	že	SCONJ	10	mark
8	není	AUX	10	cop
9	jenom	PART	10	advmod:emph
10	černá	ADJ	4	ccomp
11	_	_	None	_
12	,	PUNCT	15	punct
13	ale	CCONJ	15	cc
14	v	ADP	15	case
15	mnoha	DET	15	det:nummod
16	ohledech	NOUN	10	conj
17	podnikatelsky	ADV	17	advmod
18	zajímavá	ADJ	15	orphan
19	a	CCONJ	19	cc
20	má	VERB	10	conj
21	mnoho	DET	21	det:numgov
22	šancí	NOUN	19	obj
23	i	CCONJ	25	advmod:emph
24	co	SCONJ	25	mark
25	se	PRON	25	expl:pv
26	týče	VERB	19	advcl
27	oblasti	NOUN	25	obl:arg
28	cestovního	ADJ	28	amod
29	ruchu	NOUN	26	nmod
30	"	PUNCT	2	punct
31	.	PUNCT	2	punct