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:
Tři samopaly, malorážku, dva útočné granáty a větší množství střeliva zajistili pracovníci českobudějovické expozitury Ústředí kriminální policie v bytě 30letého podnikatele z Českobudějovicka.
Postion	Tokenization
1	Tři
2	samopaly
3	,
4	malorážku
5	,
6	dva
7	útočné
8	granáty
9	a
10	větší
11	množství
12	střeliva
13	zajistili
14	pracovníci
15	českobudějovické
16	expozitury
17	Ústředí
18	kriminální
19	policie
20	v
21	bytě
22	30
23	letého
24	podnikatele
25	z
26	Českobudějovicka
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Tři	NUM	2	nummod
2	samopaly	NOUN	13	obj
3	,	PUNCT	4	punct
4	malorážku	NOUN	2	conj
5	,	PUNCT	8	punct
6	dva	NUM	8	nummod
7	útočné	ADJ	8	amod
8	granáty	NOUN	2	conj
9	a	CCONJ	11	cc
10	větší	ADJ	11	amod
11	množství	NOUN	2	conj
12	střeliva	NOUN	11	nmod
13	zajistili	VERB	0	root
14	pracovníci	NOUN	13	nsubj
15	českobudějovické	ADJ	16	amod
16	expozitury	NOUN	14	nmod
17	Ústředí	NOUN	19	nmod
18	kriminální	ADJ	19	amod
19	policie	NOUN	16	nmod
20	v	ADP	21	case
21	bytě	NOUN	13	obl
22	30	NUM	23	obl
23	letého	ADJ	24	amod
24	podnikatele	NOUN	21	nmod
25	z	ADP	26	case
26	Českobudějovicka	PROPN	24	nmod
27	.	PUNCT	13	punct