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:
Z neinvestičních výdajů bude značná částka věnována na posílení policie o 3820 mužů, na mzdy, ale i na odvody sociálního a zdravotního pojištění.
Postion	Tokenization
1	Z
2	neinvestičních
3	výdajů
4	bude
5	značná
6	částka
7	věnována
8	na
9	posílení
10	policie
11	o
12	3820
13	mužů
14	,
15	na
16	mzdy
17	,
18	ale
19	i
20	na
21	odvody
22	sociálního
23	a
24	zdravotního
25	pojištění
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Z	ADP	3	case
2	neinvestičních	ADJ	3	amod
3	výdajů	NOUN	7	obl
4	bude	AUX	7	aux:pass
5	značná	ADJ	6	amod
6	částka	NOUN	7	nsubj:pass
7	věnována	ADJ	0	root
8	na	ADP	9	case
9	posílení	NOUN	7	obl:arg
10	policie	NOUN	9	nmod
11	o	ADP	13	case
12	3820	NUM	13	nummod:gov
13	mužů	NOUN	9	nmod
14	,	PUNCT	16	punct
15	na	ADP	16	case
16	mzdy	NOUN	9	conj
17	,	PUNCT	21	punct
18	ale	CCONJ	21	cc
19	i	CCONJ	21	advmod:emph
20	na	ADP	21	case
21	odvody	NOUN	9	conj
22	sociálního	ADJ	25	amod
23	a	CCONJ	24	cc
24	zdravotního	ADJ	22	conj
25	pojištění	NOUN	21	nmod
26	.	PUNCT	7	punct