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:
Hana Orgoníková (LSU) soudí, že tak razantní zákon by nebyl na škodu zvláště nyní, když u nás kriminalitě nejsou prakticky kladeny žádné meze.
Postion	Tokenization
1	Hana
2	Orgoníková
3	(
4	LSU
5	)
6	soudí
7	,
8	že
9	tak
10	razantní
11	zákon
12	by
13	nebyl
14	na
15	škodu
16	zvláště
17	nyní
18	,
19	když
20	u
21	nás
22	kriminalitě
23	nejsou
24	prakticky
25	kladeny
26	žádné
27	meze
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Hana	PROPN	6	nsubj
2	Orgoníková	PROPN	1	flat
3	(	PUNCT	1	punct
4	LSU	PROPN	1	dep
5	)	PUNCT	1	punct
6	soudí	VERB	0	root
7	,	PUNCT	13	punct
8	že	SCONJ	13	mark
9	tak	ADV	10	advmod
10	razantní	ADJ	11	amod
11	zákon	NOUN	13	nsubj
12	by	AUX	13	aux
13	nebyl	VERB	6	ccomp
14	na	ADP	15	case
15	škodu	NOUN	13	obl
16	zvláště	ADV	17	advmod:emph
17	nyní	ADV	13	advmod
18	,	PUNCT	25	punct
19	když	SCONJ	25	mark
20	u	ADP	21	case
21	nás	PRON	25	obl
22	kriminalitě	NOUN	25	obl:arg
23	nejsou	AUX	25	aux:pass
24	prakticky	ADV	25	advmod
25	kladeny	ADJ	13	obl
26	žádné	DET	27	det
27	meze	NOUN	25	nsubj:pass
28	.	PUNCT	6	punct