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:
Ekonomickými věcmi na profesionální úrovni se bude zabývat Miroslav Pelta, v oblastech pak Vojtěch Čižinský v Čechách a Zdeněk Šrom na Moravě.
Postion	Tokenization
1	Ekonomickými
2	věcmi
3	na
4	profesionální
5	úrovni
6	se
7	bude
8	zabývat
9	Miroslav
10	Pelta
11	,
12	v
13	oblastech
14	pak
15	Vojtěch
16	Čižinský
17	v
18	Čechách
19	a
20	Zdeněk
21	Šrom
22	na
23	Moravě
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Ekonomickými	ADJ	2	amod
2	věcmi	NOUN	8	obl:arg
3	na	ADP	5	case
4	profesionální	ADJ	5	amod
5	úrovni	NOUN	8	obl
6	se	PRON	8	expl:pv
7	bude	AUX	8	aux
8	zabývat	VERB	0	root
9	Miroslav	PROPN	8	nsubj
10	Pelta	PROPN	9	flat
11	,	PUNCT	13	punct
12	v	ADP	13	case
13	oblastech	NOUN	8	conj
14	pak	ADV	13	conj
15	Vojtěch	PROPN	13	conj
16	Čižinský	PROPN	15	flat
17	v	ADP	18	case
18	Čechách	PROPN	13	conj
19	a	CCONJ	20	cc
20	Zdeněk	PROPN	13	conj
21	Šrom	PROPN	20	flat
22	na	ADP	23	case
23	Moravě	PROPN	13	conj
24	.	PUNCT	8	punct