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:
Při činu zadržela dva lupiče v mariánském kostele v České Kamenici, zloděje auta v Rumburku a další výtečníky při pokusu o vloupání do dvou prodejen tabáku v Děčíně.
Postion	Tokenization
1	Při
2	činu
3	zadržela
4	dva
5	lupiče
6	v
7	mariánském
8	kostele
9	v
10	České
11	Kamenici
12	_
13	,
14	zloděje
15	auta
16	v
17	Rumburku
18	a
19	další
20	výtečníky
21	při
22	pokusu
23	o
24	vloupání
25	do
26	dvou
27	prodejen
28	tabáku
29	v
30	Děčíně
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Při	ADP	2	case
2	činu	NOUN	3	obl
3	zadržela	VERB	0	root
4	dva	NUM	5	nummod
5	lupiče	NOUN	3	obj
6	v	ADP	8	case
7	mariánském	ADJ	8	amod
8	kostele	NOUN	3	obl
9	v	ADP	11	case
10	České	ADJ	11	amod
11	Kamenici	NOUN	8	nmod
12	_	_	None	_
13	,	PUNCT	13	punct
14	zloděje	NOUN	3	conj
15	auta	NOUN	13	nmod
16	v	ADP	16	case
17	Rumburku	PROPN	13	orphan
18	a	CCONJ	13	cc
19	další	ADJ	19	amod
20	výtečníky	NOUN	13	orphan
21	při	ADP	21	case
22	pokusu	NOUN	13	orphan
23	o	ADP	23	case
24	vloupání	NOUN	21	nmod
25	do	ADP	26	case
26	dvou	NUM	26	nummod
27	prodejen	NOUN	23	nmod
28	tabáku	NOUN	26	nmod
29	v	ADP	29	case
30	Děčíně	PROPN	27	nmod
31	.	PUNCT	3	punct