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 text: Průměrná měsíční mzda v Licoloru je přibližně 4.5 tisíce korun, a tak má podnik potíže získat zejména vysoce specializované pracovníky, protože není schopen je vinou mzdové regulace adekvátně zaplatit.
Position	Tokenization	UPOS	Head	Deprel
1	Průměrná	ADJ	3	amod
2	měsíční	ADJ	3	amod
3	mzda	NOUN	9	nsubj
4	v	ADP	5	case
5	Licoloru	PROPN	3	nmod
6	je	AUX	9	cop
7	přibližně	ADV	8	advmod
8	4.5	NUM	9	nummod:gov
9	tisíce	NOUN	0	root
10	korun	NOUN	9	nmod
11	,	PUNCT	14	punct
12	a	CCONJ	14	cc
13	tak	CCONJ	14	cc
14	má	VERB	9	conj
15	podnik	NOUN	14	nsubj
16	potíže	NOUN	14	obj
17	získat	VERB	16	acl
18	zejména	ADV	21	advmod:emph
19	vysoce	ADV	20	advmod
20	specializované	ADJ	21	amod
21	pracovníky	NOUN	17	obj
22	,	PUNCT	25	punct
23	protože	SCONJ	25	mark
24	není	AUX	25	cop
25	schopen	ADJ	14	advcl
26	je	PRON	31	obj
27	vinou	NOUN	29	case
28	mzdové	ADJ	29	amod
29	regulace	NOUN	31	obl
30	adekvátně	ADV	31	advmod
31	zaplatit	VERB	25	xcomp
32	.	PUNCT	9	punct