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: Průměrné čisté peněžní příjmy se v roce 1993 zvýšily proti roku 1992 o 19.2 procentního bodu v domácnostech zaměstnanců, o 17.4 bodu v domácnostech zemědělců a o 16.4 bodu v domácnostech důchodců.
Position	Tokenization	UPOS	Head	Deprel
1	Průměrné	ADJ	4	amod
2	čisté	ADJ	4	amod
3	peněžní	ADJ	4	amod
4	příjmy	NOUN	9	nsubj
5	se	PRON	9	expl:pv
6	v	ADP	7	case
7	roce	NOUN	9	obl
8	1993	NUM	7	nummod
9	zvýšily	VERB	0	root
10	proti	ADP	11	case
11	roku	NOUN	9	obl
12	1992	NUM	11	nummod
13	o	ADP	16	case
14	19.2	NUM	16	nummod:gov
15	procentního	ADJ	16	amod
16	bodu	NOUN	9	obl
17	v	ADP	18	case
18	domácnostech	NOUN	9	obl
19	zaměstnanců	NOUN	18	nmod
20	,	PUNCT	9	punct
21	_	_	None	_
22	o	ADP	23	case
23	17.4	NUM	23	nummod:gov
24	bodu	NOUN	9	conj
25	v	ADP	25	case
26	domácnostech	NOUN	23	orphan
27	zemědělců	NOUN	25	nmod
28	a	CCONJ	23	cc
29	o	ADP	30	case
30	16.4	NUM	30	nummod:gov
31	bodu	NOUN	23	orphan
32	v	ADP	32	case
33	domácnostech	NOUN	23	orphan
34	důchodců	NOUN	32	nmod
35	.	PUNCT	9	punct