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:
Muže zamkli v místnosti, vykradli šatnu, vypáčili trezor a po neúspěšném pokusu odcizit služební vůz po sobě zanechali škodu 12300 Kčs.
Postion	Tokenization
1	Muže
2	zamkli
3	v
4	místnosti
5	,
6	vykradli
7	šatnu
8	,
9	vypáčili
10	trezor
11	a
12	po
13	neúspěšném
14	pokusu
15	odcizit
16	služební
17	vůz
18	po
19	sobě
20	zanechali
21	škodu
22	12300
23	Kčs
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Muže	NOUN	2	obj
2	zamkli	VERB	0	root
3	v	ADP	4	case
4	místnosti	NOUN	2	obl
5	,	PUNCT	6	punct
6	vykradli	VERB	2	conj
7	šatnu	NOUN	6	obj
8	,	PUNCT	9	punct
9	vypáčili	VERB	2	conj
10	trezor	NOUN	9	obj
11	a	CCONJ	20	cc
12	po	ADP	14	case
13	neúspěšném	ADJ	14	amod
14	pokusu	NOUN	20	obl
15	odcizit	VERB	14	acl
16	služební	ADJ	17	amod
17	vůz	NOUN	15	obj
18	po	ADP	19	case
19	sobě	PRON	20	obl
20	zanechali	VERB	2	conj
21	škodu	NOUN	20	obj
22	12300	NUM	21	nummod
23	Kčs	NOUN	22	nmod
24	.	PUNCT	2	punct