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:
Bez stavebního povolení byla rekonstruována podle zjištění komise českého ministerstva státní kontroly klusácká dráha za více než 5 miliónů korun na Státním závodišti v pražské Chuchli.
Postion	Tokenization
1	Bez
2	stavebního
3	povolení
4	byla
5	rekonstruována
6	podle
7	zjištění
8	komise
9	českého
10	ministerstva
11	státní
12	kontroly
13	klusácká
14	dráha
15	za
16	více
17	než
18	5
19	miliónů
20	korun
21	na
22	Státním
23	závodišti
24	v
25	pražské
26	Chuchli
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Bez	ADP	3	case
2	stavebního	ADJ	3	amod
3	povolení	NOUN	5	obl
4	byla	AUX	5	aux:pass
5	rekonstruována	ADJ	0	root
6	podle	ADP	7	case
7	zjištění	NOUN	5	obl
8	komise	NOUN	7	nmod
9	českého	ADJ	10	amod
10	ministerstva	NOUN	8	nmod
11	státní	ADJ	12	amod
12	kontroly	NOUN	10	nmod
13	klusácká	ADJ	14	amod
14	dráha	NOUN	5	nsubj:pass
15	za	ADP	16	case
16	více	ADV	5	advmod
17	než	SCONJ	19	mark
18	5	NUM	19	nummod:gov
19	miliónů	NOUN	16	obl
20	korun	NOUN	16	nmod
21	na	ADP	23	case
22	Státním	ADJ	23	amod
23	závodišti	NOUN	5	obl
24	v	ADP	26	case
25	pražské	ADJ	26	amod
26	Chuchli	PROPN	23	nmod
27	.	PUNCT	5	punct