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:
Počet alergiků v populaci se dnes pohybuje od 15 % u dospělých do 20 % u dětí, což je ve srovnání s dobou před 20 lety téměř dvojnásobek.
Postion	Tokenization
1	Počet
2	alergiků
3	v
4	populaci
5	se
6	dnes
7	pohybuje
8	od
9	15
10	%
11	u
12	dospělých
13	do
14	20
15	%
16	u
17	dětí
18	,
19	což
20	je
21	ve
22	srovnání
23	s
24	dobou
25	před
26	20
27	lety
28	téměř
29	dvojnásobek
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Počet	NOUN	7	nsubj
2	alergiků	NOUN	1	nmod
3	v	ADP	4	case
4	populaci	NOUN	1	nmod
5	se	PRON	7	expl:pv
6	dnes	ADV	7	advmod
7	pohybuje	VERB	0	root
8	od	ADP	10	case
9	15	NUM	10	nummod
10	%	SYM	7	advmod
11	u	ADP	12	case
12	dospělých	NOUN	7	obl
13	do	ADP	15	case
14	20	NUM	15	nummod
15	%	SYM	7	advmod
16	u	ADP	17	case
17	dětí	NOUN	7	obl
18	,	PUNCT	29	punct
19	což	PRON	29	nsubj
20	je	AUX	29	cop
21	ve	ADP	24	case
22	srovnání	NOUN	21	fixed
23	s	ADP	21	fixed
24	dobou	NOUN	29	obl
25	před	ADP	27	case
26	20	NUM	27	nummod
27	lety	NOUN	24	nmod
28	téměř	ADV	29	advmod:emph
29	dvojnásobek	NOUN	7	conj
30	.	PUNCT	7	punct