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:
Jestliže ve státě New Hampshire začne geometricky narůstat kriminalita mladistvých, veřejnost ocení svou přízní vládní akt zvýšení výdajů na boj se zločinností.
Postion	Tokenization
1	Jestliže
2	ve
3	státě
4	New
5	Hampshire
6	začne
7	geometricky
8	narůstat
9	kriminalita
10	mladistvých
11	,
12	veřejnost
13	ocení
14	svou
15	přízní
16	vládní
17	akt
18	zvýšení
19	výdajů
20	na
21	boj
22	se
23	zločinností
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Jestliže	SCONJ	6	mark
2	ve	ADP	3	case
3	státě	NOUN	6	obl
4	New	ADJ	5	amod
5	Hampshire	PROPN	3	nmod
6	začne	VERB	13	advcl
7	geometricky	ADV	8	advmod
8	narůstat	VERB	6	xcomp
9	kriminalita	NOUN	6	nsubj
10	mladistvých	ADJ	9	amod
11	,	PUNCT	6	punct
12	veřejnost	NOUN	13	nsubj
13	ocení	VERB	0	root
14	svou	DET	15	det
15	přízní	NOUN	13	obl
16	vládní	ADJ	17	amod
17	akt	NOUN	13	obj
18	zvýšení	NOUN	17	nmod
19	výdajů	NOUN	18	nmod
20	na	ADP	21	case
21	boj	NOUN	19	nmod
22	se	ADP	23	case
23	zločinností	NOUN	21	nmod
24	.	PUNCT	13	punct