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 mzda v relaci k HDP na obyvatele (při měření pomocí parity kupní síly měny) je v ČR mimořádně nízká nejen ve srovnání s vyspělými tržními ekonomikami, ale i s Polskem a Maďarskem.
Position	Tokenization	UPOS	Head	Deprel
1	Průměrná	ADJ	2	amod
2	mzda	NOUN	22	nsubj
3	v	ADP	4	case
4	relaci	NOUN	2	nmod
5	k	ADP	6	case
6	HDP	NOUN	4	nmod
7	na	ADP	8	case
8	obyvatele	NOUN	2	nmod
9	(	PUNCT	11	punct
10	při	ADP	11	case
11	měření	NOUN	22	obl
12	pomocí	ADP	13	case
13	parity	NOUN	11	nmod
14	kupní	ADJ	15	amod
15	síly	NOUN	13	nmod
16	měny	NOUN	15	nmod
17	)	PUNCT	11	punct
18	je	AUX	22	cop
19	v	ADP	20	case
20	ČR	PROPN	22	obl
21	mimořádně	ADV	22	advmod
22	nízká	ADJ	0	root
23	nejen	PART	29	advmod:emph
24	ve	ADP	29	case
25	srovnání	NOUN	24	fixed
26	s	ADP	24	fixed
27	vyspělými	ADJ	29	amod
28	tržními	ADJ	29	amod
29	ekonomikami	NOUN	22	obl
30	,	PUNCT	34	punct
31	ale	CCONJ	34	cc
32	i	CCONJ	34	advmod:emph
33	s	ADP	34	case
34	Polskem	PROPN	29	conj
35	a	CCONJ	36	cc
36	Maďarskem	PROPN	34	conj
37	.	PUNCT	22	punct