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:
Nestačí vycházet pouze z domněnek nebo zkušeností z několika škol, proto členové příslušné pracovní skupiny plánují návštěvy škol pro děti s poruchami sluchu na různých místech v republice.
Postion	Tokenization
1	Nestačí
2	vycházet
3	pouze
4	z
5	domněnek
6	nebo
7	zkušeností
8	z
9	několika
10	škol
11	,
12	proto
13	členové
14	příslušné
15	pracovní
16	skupiny
17	plánují
18	návštěvy
19	škol
20	pro
21	děti
22	s
23	poruchami
24	sluchu
25	na
26	různých
27	místech
28	v
29	republice
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Nestačí	VERB	0	root
2	vycházet	VERB	1	csubj
3	pouze	ADV	5	advmod:emph
4	z	ADP	5	case
5	domněnek	NOUN	2	obl:arg
6	nebo	CCONJ	7	cc
7	zkušeností	NOUN	5	conj
8	z	ADP	10	case
9	několika	DET	10	det:nummod
10	škol	NOUN	7	nmod
11	,	PUNCT	17	punct
12	proto	CCONJ	17	cc
13	členové	NOUN	17	nsubj
14	příslušné	ADJ	16	amod
15	pracovní	ADJ	16	amod
16	skupiny	NOUN	13	nmod
17	plánují	VERB	1	conj
18	návštěvy	NOUN	17	obj
19	škol	NOUN	18	nmod
20	pro	ADP	21	case
21	děti	NOUN	19	nmod
22	s	ADP	23	case
23	poruchami	NOUN	21	nmod
24	sluchu	NOUN	23	nmod
25	na	ADP	27	case
26	různých	ADJ	27	amod
27	místech	NOUN	18	nmod
28	v	ADP	29	case
29	republice	NOUN	27	nmod
30	.	PUNCT	1	punct