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:
Vzhledem k tomu, že STEM je nestátní instituce odkázaná pouze na výsledky své práce, jsou jejich průzkumy obsahově bohatší a statisticky přesnější.
Postion	Tokenization
1	Vzhledem
2	k
3	tomu
4	,
5	že
6	STEM
7	je
8	nestátní
9	instituce
10	odkázaná
11	pouze
12	na
13	výsledky
14	své
15	práce
16	,
17	jsou
18	jejich
19	průzkumy
20	obsahově
21	bohatší
22	a
23	statisticky
24	přesnější
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Vzhledem	ADP	3	case
2	k	ADP	1	fixed
3	tomu	DET	21	obl
4	,	PUNCT	9	punct
5	že	SCONJ	9	mark
6	STEM	PROPN	9	nsubj
7	je	AUX	9	cop
8	nestátní	ADJ	9	amod
9	instituce	NOUN	3	acl
10	odkázaná	ADJ	9	amod
11	pouze	ADV	13	advmod:emph
12	na	ADP	13	case
13	výsledky	NOUN	10	obl:arg
14	své	DET	15	det
15	práce	NOUN	13	nmod
16	,	PUNCT	9	punct
17	jsou	AUX	21	cop
18	jejich	DET	19	det
19	průzkumy	NOUN	21	nsubj
20	obsahově	ADV	21	advmod
21	bohatší	ADJ	0	root
22	a	CCONJ	24	cc
23	statisticky	ADV	24	advmod
24	přesnější	ADJ	21	conj
25	.	PUNCT	21	punct