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:
Na uzavírání chráněných dílen v Praze a strach rodičů mentálně postižených z nové bariéry ve společnosti upozorňují v dopise zástupci deseti pražských obvodních výborů Sdružení pro mentálně postižené.
Postion	Tokenization
1	Na
2	uzavírání
3	chráněných
4	dílen
5	v
6	Praze
7	a
8	strach
9	rodičů
10	mentálně
11	postižených
12	z
13	nové
14	bariéry
15	ve
16	společnosti
17	upozorňují
18	v
19	dopise
20	zástupci
21	deseti
22	pražských
23	obvodních
24	výborů
25	Sdružení
26	pro
27	mentálně
28	postižené
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Na	ADP	2	case
2	uzavírání	NOUN	17	obl:arg
3	chráněných	ADJ	4	amod
4	dílen	NOUN	2	nmod
5	v	ADP	6	case
6	Praze	PROPN	4	nmod
7	a	CCONJ	8	cc
8	strach	NOUN	2	conj
9	rodičů	NOUN	8	nmod
10	mentálně	ADV	11	advmod
11	postižených	ADJ	9	amod
12	z	ADP	14	case
13	nové	ADJ	14	amod
14	bariéry	NOUN	8	nmod
15	ve	ADP	16	case
16	společnosti	NOUN	14	nmod
17	upozorňují	VERB	0	root
18	v	ADP	19	case
19	dopise	NOUN	17	obl
20	zástupci	NOUN	17	nsubj
21	deseti	NUM	24	nummod
22	pražských	ADJ	24	amod
23	obvodních	ADJ	24	amod
24	výborů	NOUN	20	nmod
25	Sdružení	NOUN	24	nmod
26	pro	ADP	28	case
27	mentálně	ADV	28	advmod
28	postižené	ADJ	25	amod
29	.	PUNCT	17	punct