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:
Průměrná mzda v průmyslových podnicích s 25 a více pracovníky se zvýšila v březnu o 12 % na 6789 Kč a ve stavebních firmách o 22 % na 7318 Kč.
Postion	Tokenization
1	Průměrná
2	mzda
3	v
4	průmyslových
5	podnicích
6	s
7	25
8	a
9	více
10	pracovníky
11	se
12	zvýšila
13	v
14	březnu
15	o
16	12
17	%
18	na
19	6789
20	Kč
21	_
22	a
23	ve
24	stavebních
25	firmách
26	o
27	22
28	%
29	na
30	7318
31	Kč
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Průměrná	ADJ	2	amod
2	mzda	NOUN	12	nsubj:pass
3	v	ADP	5	case
4	průmyslových	ADJ	5	amod
5	podnicích	NOUN	2	nmod
6	s	ADP	10	case
7	25	NUM	10	nummod
8	a	CCONJ	9	cc
9	více	ADV	7	conj
10	pracovníky	NOUN	5	nmod
11	se	PRON	12	expl:pass
12	zvýšila	VERB	0	root
13	v	ADP	14	case
14	březnu	NOUN	12	obl
15	o	ADP	16	case
16	12	NUM	12	obl
17	%	SYM	16	nmod
18	na	ADP	19	case
19	6789	NUM	12	obl
20	Kč	NOUN	19	nmod
21	_	_	None	_
22	a	CCONJ	24	cc
23	ve	ADP	24	case
24	stavebních	ADJ	24	amod
25	firmách	NOUN	12	conj
26	o	ADP	26	case
27	22	NUM	24	orphan
28	%	SYM	26	nmod
29	na	ADP	29	case
30	7318	NUM	24	orphan
31	Kč	NOUN	29	nmod
32	.	PUNCT	12	punct