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: Teprve odvozené syntetické pyrethroidy, které svou stálostí a účinností daleko překonávají původní přírodní model, zaznamenaly neobyčejný komerční úspěch a uplatňují se i v ochraně rostlin, což je oblast, která spotřebovává největší kvanta pesticidů, a je tedy pro výrobce nejzajímavější.
Position	Tokenization	UPOS	Head	Deprel
1	Teprve	ADV	4	advmod:emph
2	odvozené	ADJ	4	amod
3	syntetické	ADJ	4	amod
4	pyrethroidy	NOUN	17	nsubj
5	,	PUNCT	12	punct
6	které	DET	12	nsubj
7	svou	DET	8	det
8	stálostí	NOUN	12	obl
9	a	CCONJ	10	cc
10	účinností	NOUN	8	conj
11	daleko	ADV	12	advmod
12	překonávají	VERB	4	acl:relcl
13	původní	ADJ	15	amod
14	přírodní	ADJ	15	amod
15	model	NOUN	12	obj
16	,	PUNCT	12	punct
17	zaznamenaly	VERB	0	root
18	neobyčejný	ADJ	20	amod
19	komerční	ADJ	20	amod
20	úspěch	NOUN	17	obj
21	a	CCONJ	22	cc
22	uplatňují	VERB	17	conj
23	se	PRON	22	expl:pass
24	i	CCONJ	26	advmod:emph
25	v	ADP	26	case
26	ochraně	NOUN	22	obl
27	rostlin	NOUN	26	nmod
28	,	PUNCT	31	punct
29	což	PRON	31	nsubj
30	je	AUX	31	cop
31	oblast	NOUN	22	conj
32	,	PUNCT	34	punct
33	která	DET	34	nsubj
34	spotřebovává	VERB	31	acl:relcl
35	největší	ADJ	36	amod
36	kvanta	NOUN	34	obj
37	pesticidů	NOUN	36	nmod
38	,	PUNCT	44	punct
39	a	CCONJ	44	cc
40	je	AUX	44	cop
41	tedy	ADV	44	cc
42	pro	ADP	43	case
43	výrobce	NOUN	44	obl
44	nejzajímavější	ADJ	34	conj
45	.	PUNCT	17	punct