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:
Právník Jan Hutař ze Sdružení zdravotně postižených připomíná, že se množí případy, kdy posudkové komise občanům odnímají dříve přiznané mimořádné výhody.
Postion	Tokenization
1	Právník
2	Jan
3	Hutař
4	ze
5	Sdružení
6	zdravotně
7	postižených
8	připomíná
9	,
10	že
11	se
12	množí
13	případy
14	,
15	kdy
16	posudkové
17	komise
18	občanům
19	odnímají
20	dříve
21	přiznané
22	mimořádné
23	výhody
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Právník	NOUN	8	nsubj
2	Jan	PROPN	1	flat
3	Hutař	PROPN	1	flat
4	ze	ADP	5	case
5	Sdružení	NOUN	1	nmod
6	zdravotně	ADV	7	advmod
7	postižených	ADJ	5	amod
8	připomíná	VERB	0	root
9	,	PUNCT	12	punct
10	že	SCONJ	12	mark
11	se	PRON	12	expl:pv
12	množí	VERB	8	ccomp
13	případy	NOUN	12	nsubj
14	,	PUNCT	19	punct
15	kdy	ADV	19	advmod
16	posudkové	ADJ	17	amod
17	komise	NOUN	19	nsubj
18	občanům	NOUN	19	obl:arg
19	odnímají	VERB	13	acl:relcl
20	dříve	ADV	21	advmod
21	přiznané	ADJ	23	amod
22	mimořádné	ADJ	23	amod
23	výhody	NOUN	19	obj
24	.	PUNCT	8	punct