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:
Odhaduje se, že průměrný Američan denně pozře 2000 mg spálené stravy, 1500 mg přírodních pesticidů (ve srovnání s denním příjmem 0.09 mg reziduí syntetických pesticidů).
Postion	Tokenization
1	Odhaduje
2	se
3	,
4	že
5	průměrný
6	Američan
7	denně
8	pozře
9	2000
10	mg
11	spálené
12	stravy
13	,
14	1500
15	mg
16	přírodních
17	pesticidů
18	(
19	ve
20	srovnání
21	s
22	denním
23	příjmem
24	0.09
25	mg
26	reziduí
27	syntetických
28	pesticidů
29	)
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Odhaduje	VERB	0	root
2	se	PRON	1	expl:pass
3	,	PUNCT	8	punct
4	že	SCONJ	8	mark
5	průměrný	ADJ	6	amod
6	Američan	PROPN	8	nsubj
7	denně	ADV	8	advmod
8	pozře	VERB	1	csubj:pass
9	2000	NUM	8	obj
10	mg	NOUN	9	nmod
11	spálené	ADJ	12	amod
12	stravy	NOUN	10	nmod
13	,	PUNCT	14	punct
14	1500	NUM	9	conj
15	mg	NOUN	14	nmod
16	přírodních	ADJ	17	amod
17	pesticidů	NOUN	15	nmod
18	(	PUNCT	23	punct
19	ve	ADP	23	case
20	srovnání	NOUN	19	fixed
21	s	ADP	19	fixed
22	denním	ADJ	23	amod
23	příjmem	NOUN	8	obl
24	0.09	NUM	23	nummod
25	mg	NOUN	24	nmod
26	reziduí	NOUN	25	nmod
27	syntetických	ADJ	28	amod
28	pesticidů	NOUN	26	nmod
29	)	PUNCT	23	punct
30	.	PUNCT	1	punct