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 severní Moravě - v Karviné a Frýdku-Místku, ale i v Praze komise nepřiznávají dětem s onkologickými diagnózami průkazky pro zvlášť těžce postižené s průvodcem.
Postion	Tokenization
1	Na
2	severní
3	Moravě
4	-
5	v
6	Karviné
7	a
8	Frýdku
9	-
10	Místku
11	,
12	ale
13	i
14	v
15	Praze
16	komise
17	nepřiznávají
18	dětem
19	s
20	onkologickými
21	diagnózami
22	průkazky
23	pro
24	zvlášť
25	těžce
26	postižené
27	s
28	průvodcem
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Na	ADP	3	case
2	severní	ADJ	3	amod
3	Moravě	PROPN	17	obl
4	-	PUNCT	6	punct
5	v	ADP	6	case
6	Karviné	PROPN	3	appos
7	a	CCONJ	8	cc
8	Frýdku	PROPN	6	conj
9	-	PUNCT	10	punct
10	Místku	PROPN	8	flat
11	,	PUNCT	15	punct
12	ale	CCONJ	15	cc
13	i	CCONJ	15	advmod:emph
14	v	ADP	15	case
15	Praze	PROPN	3	conj
16	komise	NOUN	17	nsubj
17	nepřiznávají	VERB	0	root
18	dětem	NOUN	17	obl:arg
19	s	ADP	21	case
20	onkologickými	ADJ	21	amod
21	diagnózami	NOUN	18	nmod
22	průkazky	NOUN	17	obj
23	pro	ADP	26	case
24	zvlášť	ADV	25	advmod
25	těžce	ADV	26	advmod
26	postižené	ADJ	22	amod
27	s	ADP	28	case
28	průvodcem	NOUN	22	nmod
29	.	PUNCT	17	punct