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: Předpokládaný vzrůst na necelý dvojnásobek spotřeby v USA r. 1998 není nijak horentní a navíc bude zřejmě obstarán hlavně oněmi syntetickými napodobeninami, tedy pyrethroidy, které se svou strukturou již značně liší od výchozího přírodního modelu.
Position	Tokenization	UPOS	Head	Deprel
1	Předpokládaný	ADJ	2	amod
2	vzrůst	NOUN	14	nsubj
3	na	ADP	5	case
4	necelý	ADJ	5	amod
5	dvojnásobek	NOUN	2	nmod
6	spotřeby	NOUN	5	nmod
7	v	ADP	8	case
8	USA	PROPN	6	nmod
9	r	NOUN	6	nmod
10	.	PUNCT	9	punct
11	1998	NUM	9	nummod
12	není	AUX	14	cop
13	nijak	ADV	14	advmod
14	horentní	ADJ	0	root
15	a	CCONJ	19	cc
16	navíc	ADV	19	advmod
17	bude	AUX	19	aux:pass
18	zřejmě	ADV	19	cc
19	obstarán	ADJ	14	conj
20	hlavně	ADV	19	advmod
21	oněmi	DET	23	det
22	syntetickými	ADJ	23	amod
23	napodobeninami	NOUN	19	obl
24	,	PUNCT	26	punct
25	tedy	ADV	26	cc
26	pyrethroidy	NOUN	23	appos
27	,	PUNCT	34	punct
28	které	DET	34	nsubj
29	se	PRON	34	expl:pv
30	svou	DET	31	det
31	strukturou	NOUN	34	obl
32	již	ADV	34	advmod
33	značně	ADV	34	advmod
34	liší	VERB	23	acl:relcl
35	od	ADP	38	case
36	výchozího	ADJ	38	amod
37	přírodního	ADJ	38	amod
38	modelu	NOUN	34	obl:arg
39	.	PUNCT	14	punct