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:
Vzbuzuje také podezření, že by se mohli někteří silní členové burzy pokoušet ovlivnit hodnotu validačních čísel určitých emisí k obrazu svému, tedy mimo jednotný algoritmus.
Postion	Tokenization
1	Vzbuzuje
2	také
3	podezření
4	,
5	že
6	by
7	se
8	mohli
9	někteří
10	silní
11	členové
12	burzy
13	pokoušet
14	ovlivnit
15	hodnotu
16	validačních
17	čísel
18	určitých
19	emisí
20	k
21	obrazu
22	svému
23	,
24	tedy
25	mimo
26	jednotný
27	algoritmus
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Vzbuzuje	VERB	0	root
2	také	ADV	1	advmod
3	podezření	NOUN	1	obj
4	,	PUNCT	8	punct
5	že	SCONJ	8	mark
6	by	AUX	8	aux
7	se	PRON	13	expl:pv
8	mohli	VERB	3	acl
9	někteří	DET	11	det
10	silní	ADJ	11	amod
11	členové	NOUN	8	nsubj
12	burzy	NOUN	11	nmod
13	pokoušet	VERB	8	xcomp
14	ovlivnit	VERB	13	xcomp
15	hodnotu	NOUN	14	obj
16	validačních	ADJ	17	amod
17	čísel	NOUN	15	nmod
18	určitých	ADJ	19	amod
19	emisí	NOUN	17	nmod
20	k	ADP	21	case
21	obrazu	NOUN	14	obl
22	svému	DET	21	det
23	,	PUNCT	27	punct
24	tedy	ADV	27	cc
25	mimo	ADP	27	case
26	jednotný	ADJ	27	amod
27	algoritmus	NOUN	21	appos
28	.	PUNCT	1	punct