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:
Třiadvacetiletý muž z okresu Pardubice odcizil z kanceláře vedoucí Supraphonu na Masarykově ulici v Brně tržbu ve výši 52980 korun a peněženku s 3000 korunami.
Postion	Tokenization
1	Třiadvacetiletý
2	muž
3	z
4	okresu
5	Pardubice
6	odcizil
7	z
8	kanceláře
9	vedoucí
10	Supraphonu
11	na
12	Masarykově
13	ulici
14	v
15	Brně
16	tržbu
17	ve
18	výši
19	52980
20	korun
21	a
22	peněženku
23	s
24	3000
25	korunami
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Třiadvacetiletý	ADJ	2	amod
2	muž	NOUN	6	nsubj
3	z	ADP	4	case
4	okresu	NOUN	2	nmod
5	Pardubice	PROPN	4	nmod
6	odcizil	VERB	0	root
7	z	ADP	8	case
8	kanceláře	NOUN	6	obl
9	vedoucí	NOUN	8	nmod
10	Supraphonu	PROPN	9	nmod
11	na	ADP	13	case
12	Masarykově	ADJ	13	amod
13	ulici	NOUN	8	nmod
14	v	ADP	15	case
15	Brně	PROPN	13	obl
16	tržbu	NOUN	6	obj
17	ve	ADP	18	case
18	výši	NOUN	16	nmod
19	52980	NUM	20	nummod
20	korun	NOUN	18	nmod
21	a	CCONJ	22	cc
22	peněženku	NOUN	16	conj
23	s	ADP	25	case
24	3000	NUM	25	nummod
25	korunami	NOUN	22	nmod
26	.	PUNCT	6	punct