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 případě syntetických pesticidů to např. znamená, že snaha odstranit i nepatrná množství těchto látek z potravin je činí dražšími a tak vede ke snížení spotřeby potravin, které naopak vzniku rakoviny předcházejí.
Postion	Tokenization
1	V
2	případě
3	syntetických
4	pesticidů
5	to
6	např
7	.
8	znamená
9	,
10	že
11	snaha
12	odstranit
13	i
14	nepatrná
15	množství
16	těchto
17	látek
18	z
19	potravin
20	je
21	činí
22	dražšími
23	a
24	tak
25	vede
26	ke
27	snížení
28	spotřeby
29	potravin
30	,
31	které
32	naopak
33	vzniku
34	rakoviny
35	předcházejí
36	.
Position	Tokenization	UPOS	Head	Deprel
1	V	ADP	4	case
2	případě	NOUN	1	fixed
3	syntetických	ADJ	4	amod
4	pesticidů	NOUN	8	obl
5	to	DET	8	nsubj
6	např	ADV	8	advmod:emph
7	.	PUNCT	6	punct
8	znamená	VERB	0	root
9	,	PUNCT	21	punct
10	že	SCONJ	21	mark
11	snaha	NOUN	21	nsubj
12	odstranit	VERB	11	acl
13	i	CCONJ	15	advmod:emph
14	nepatrná	ADJ	15	amod
15	množství	NOUN	12	obj
16	těchto	DET	17	det
17	látek	NOUN	15	nmod
18	z	ADP	19	case
19	potravin	NOUN	12	obl
20	je	PRON	21	obj
21	činí	VERB	8	ccomp
22	dražšími	ADJ	21	obl:arg
23	a	CCONJ	25	cc
24	tak	ADV	25	cc
25	vede	VERB	21	conj
26	ke	ADP	27	case
27	snížení	NOUN	25	obl
28	spotřeby	NOUN	27	nmod
29	potravin	NOUN	28	nmod
30	,	PUNCT	35	punct
31	které	DET	35	nsubj
32	naopak	ADV	35	advmod
33	vzniku	NOUN	35	obl:arg
34	rakoviny	NOUN	33	nmod
35	předcházejí	VERB	29	acl:relcl
36	.	PUNCT	8	punct