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:
Ředitel STEM Jan Hartl se domnívá, že blízká shodnost některých dat v šetřeních obou institucí je mnohem častější než jejich velká odlišnost.
Postion	Tokenization
1	Ředitel
2	STEM
3	Jan
4	Hartl
5	se
6	domnívá
7	,
8	že
9	blízká
10	shodnost
11	některých
12	dat
13	v
14	šetřeních
15	obou
16	institucí
17	je
18	mnohem
19	častější
20	než
21	jejich
22	velká
23	odlišnost
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Ředitel	NOUN	6	nsubj
2	STEM	PROPN	1	nmod
3	Jan	PROPN	1	flat
4	Hartl	PROPN	1	flat
5	se	PRON	6	expl:pv
6	domnívá	VERB	0	root
7	,	PUNCT	19	punct
8	že	SCONJ	19	mark
9	blízká	ADJ	10	amod
10	shodnost	NOUN	19	nsubj
11	některých	DET	12	det
12	dat	NOUN	10	nmod
13	v	ADP	14	case
14	šetřeních	NOUN	12	nmod
15	obou	NUM	16	nummod
16	institucí	NOUN	14	nmod
17	je	AUX	19	cop
18	mnohem	ADV	19	advmod
19	častější	ADJ	6	ccomp
20	než	SCONJ	23	mark
21	jejich	DET	23	det
22	velká	ADJ	23	amod
23	odlišnost	NOUN	19	advcl
24	.	PUNCT	6	punct