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:
Již několik ministrů a poslanců parlamentu projevilo zájem startovat ve druhém ročníku běhu Špilberkem, který se uskuteční 15. října v parku tohoto brněnského hradu.
Postion	Tokenization
1	Již
2	několik
3	ministrů
4	a
5	poslanců
6	parlamentu
7	projevilo
8	zájem
9	startovat
10	ve
11	druhém
12	ročníku
13	běhu
14	Špilberkem
15	,
16	který
17	se
18	uskuteční
19	15
20	.
21	října
22	v
23	parku
24	tohoto
25	brněnského
26	hradu
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Již	ADV	2	advmod:emph
2	několik	DET	3	det:numgov
3	ministrů	NOUN	7	nsubj
4	a	CCONJ	5	cc
5	poslanců	NOUN	3	conj
6	parlamentu	NOUN	3	nmod
7	projevilo	VERB	0	root
8	zájem	NOUN	7	obj
9	startovat	VERB	8	acl
10	ve	ADP	12	case
11	druhém	ADJ	12	amod
12	ročníku	NOUN	9	obl
13	běhu	NOUN	12	nmod
14	Špilberkem	PROPN	13	nmod
15	,	PUNCT	18	punct
16	který	DET	18	nsubj:pass
17	se	PRON	18	expl:pass
18	uskuteční	VERB	13	acl:relcl
19	15	NUM	21	nummod
20	.	PUNCT	19	punct
21	října	NOUN	18	obl
22	v	ADP	23	case
23	parku	NOUN	18	obl
24	tohoto	DET	26	det
25	brněnského	ADJ	26	amod
26	hradu	NOUN	23	nmod
27	.	PUNCT	7	punct