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: Stále rostoucí množství vědeckých poznatků na poli lékařských věd a biologie, mohutně se rozvíjející produkce farmaceutická, dokonalejší hygienická opatření a rozsáhlé očkovací akce však nepřinášejí v boji proti němu zásadní obrat.;
Position	Tokenization	UPOS	Head	Deprel
1	Stále	ADV	2	advmod
2	rostoucí	ADJ	3	amod
3	množství	NOUN	27	nsubj
4	vědeckých	ADJ	5	amod
5	poznatků	NOUN	3	nmod
6	na	ADP	7	case
7	poli	NOUN	5	nmod
8	lékařských	ADJ	9	amod
9	věd	NOUN	7	nmod
10	a	CCONJ	11	cc
11	biologie	NOUN	9	conj
12	,	PUNCT	16	punct
13	mohutně	ADV	15	advmod
14	se	PRON	15	expl:pv
15	rozvíjející	ADJ	16	amod
16	produkce	NOUN	3	conj
17	farmaceutická	ADJ	16	amod
18	,	PUNCT	21	punct
19	dokonalejší	ADJ	21	amod
20	hygienická	ADJ	21	amod
21	opatření	NOUN	3	conj
22	a	CCONJ	25	cc
23	rozsáhlé	ADJ	25	amod
24	očkovací	ADJ	25	amod
25	akce	NOUN	3	conj
26	však	CCONJ	27	cc
27	nepřinášejí	VERB	0	root
28	v	ADP	29	case
29	boji	NOUN	27	obl
30	proti	ADP	31	case
31	němu	PRON	29	nmod
32	zásadní	ADJ	33	amod
33	obrat	NOUN	27	obj
34	.	PUNCT	27	punct
35	;	PUNCT	27	punct