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:
Například ve druhém pololetí tamní obyvatelé zaplatili za zboží a služby v průměru 7700 marek, což bylo 63 % nákupu průměrného obyvatele ve starých spolkových zemích.
Postion	Tokenization
1	Například
2	ve
3	druhém
4	pololetí
5	tamní
6	obyvatelé
7	zaplatili
8	za
9	zboží
10	a
11	služby
12	v
13	průměru
14	7700
15	marek
16	,
17	což
18	bylo
19	63
20	%
21	nákupu
22	průměrného
23	obyvatele
24	ve
25	starých
26	spolkových
27	zemích
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Například	ADV	7	advmod
2	ve	ADP	4	case
3	druhém	ADJ	4	amod
4	pololetí	NOUN	7	obl
5	tamní	ADJ	6	amod
6	obyvatelé	NOUN	7	nsubj
7	zaplatili	VERB	0	root
8	za	ADP	9	case
9	zboží	NOUN	7	obl:arg
10	a	CCONJ	11	cc
11	služby	NOUN	9	conj
12	v	ADP	13	case
13	průměru	NOUN	7	obl
14	7700	NUM	15	nummod:gov
15	marek	NOUN	7	obj
16	,	PUNCT	19	punct
17	což	PRON	19	nsubj
18	bylo	AUX	19	cop
19	63	NUM	7	conj
20	%	SYM	19	nmod
21	nákupu	NOUN	20	nmod
22	průměrného	ADJ	23	amod
23	obyvatele	NOUN	21	nmod
24	ve	ADP	27	case
25	starých	ADJ	27	amod
26	spolkových	ADJ	27	amod
27	zemích	NOUN	23	nmod
28	.	PUNCT	7	punct