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:
V domácnostech zaměstnanců a důchodců se podíl výdajů na výživu a bydlení v roce 1993 proti roku 1992 nezměnil a představoval 41.1 %, resp. 58.4 %.
Postion	Tokenization
1	V
2	domácnostech
3	zaměstnanců
4	a
5	důchodců
6	se
7	podíl
8	výdajů
9	na
10	výživu
11	a
12	bydlení
13	v
14	roce
15	1993
16	proti
17	roku
18	1992
19	nezměnil
20	a
21	představoval
22	41.1
23	%
24	,
25	resp
26	.
27	58.4
28	%
29	.
Position	Tokenization	UPOS	Head	Deprel
1	V	ADP	2	case
2	domácnostech	NOUN	19	obl
3	zaměstnanců	NOUN	2	nmod
4	a	CCONJ	5	cc
5	důchodců	NOUN	3	conj
6	se	PRON	19	expl:pv
7	podíl	NOUN	19	nsubj
8	výdajů	NOUN	7	nmod
9	na	ADP	10	case
10	výživu	NOUN	8	nmod
11	a	CCONJ	12	cc
12	bydlení	NOUN	10	conj
13	v	ADP	14	case
14	roce	NOUN	19	obl
15	1993	NUM	14	nummod
16	proti	ADP	17	case
17	roku	NOUN	19	obl
18	1992	NUM	17	nummod
19	nezměnil	VERB	0	root
20	a	CCONJ	21	cc
21	představoval	VERB	19	conj
22	41.1	NUM	21	obj
23	%	SYM	22	nmod
24	,	PUNCT	27	punct
25	resp	ADV	27	cc
26	.	PUNCT	27	punct
27	58.4	NUM	22	compound
28	%	SYM	27	nmod
29	.	PUNCT	19	punct