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:
Předsedajícímu schůze Jozefu Prokešovi (SNS) adresoval výtku, že se mu vedení schůze vymyká z rukou, čímž je vytvářen prostor pro demagogii.
Postion	Tokenization
1	Předsedajícímu
2	schůze
3	Jozefu
4	Prokešovi
5	(
6	SNS
7	)
8	adresoval
9	výtku
10	,
11	že
12	se
13	mu
14	vedení
15	schůze
16	vymyká
17	z
18	rukou
19	,
20	čímž
21	je
22	vytvářen
23	prostor
24	pro
25	demagogii
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Předsedajícímu	ADJ	3	amod
2	schůze	NOUN	1	nmod
3	Jozefu	PROPN	8	obl:arg
4	Prokešovi	PROPN	3	flat
5	(	PUNCT	3	punct
6	SNS	PROPN	3	dep
7	)	PUNCT	3	punct
8	adresoval	VERB	0	root
9	výtku	NOUN	8	obj
10	,	PUNCT	16	punct
11	že	SCONJ	16	mark
12	se	PRON	16	expl:pv
13	mu	PRON	16	obl:arg
14	vedení	NOUN	16	nsubj
15	schůze	NOUN	14	nmod
16	vymyká	VERB	9	acl
17	z	ADP	18	case
18	rukou	NOUN	16	obl
19	,	PUNCT	22	punct
20	čímž	PRON	22	obl
21	je	AUX	22	aux:pass
22	vytvářen	ADJ	16	conj
23	prostor	NOUN	22	nsubj:pass
24	pro	ADP	25	case
25	demagogii	NOUN	23	nmod
26	.	PUNCT	8	punct