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:
Uvádějí, že model národního parku, v jehož lesích správa parku i hospodaří, se osvědčil také v sousedním Bavorsku, v Polsku i v USA.
Postion	Tokenization
1	Uvádějí
2	,
3	že
4	model
5	národního
6	parku
7	,
8	v
9	jehož
10	lesích
11	správa
12	parku
13	i
14	hospodaří
15	,
16	se
17	osvědčil
18	také
19	v
20	sousedním
21	Bavorsku
22	,
23	v
24	Polsku
25	i
26	v
27	USA
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Uvádějí	VERB	0	root
2	,	PUNCT	17	punct
3	že	SCONJ	17	mark
4	model	NOUN	17	nsubj
5	národního	ADJ	6	amod
6	parku	NOUN	4	nmod
7	,	PUNCT	14	punct
8	v	ADP	10	case
9	jehož	DET	10	det
10	lesích	NOUN	14	obl
11	správa	NOUN	14	nsubj
12	parku	NOUN	11	nmod
13	i	CCONJ	14	advmod:emph
14	hospodaří	VERB	6	acl:relcl
15	,	PUNCT	14	punct
16	se	PRON	17	expl:pv
17	osvědčil	VERB	1	ccomp
18	také	ADV	21	advmod:emph
19	v	ADP	21	case
20	sousedním	ADJ	21	amod
21	Bavorsku	PROPN	17	obl
22	,	PUNCT	24	punct
23	v	ADP	24	case
24	Polsku	PROPN	21	conj
25	i	CCONJ	27	cc
26	v	ADP	27	case
27	USA	PROPN	21	conj
28	.	PUNCT	1	punct