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 text: Jak jsme v LN informovali, Jiří Beza, David Čechmánek a další zaměstnanec firmy, čtyřiadvacetiletý František Čuba, byli vyšetřovatelem Krajského úřadu vyšetřování v Brně obviněni z trestného činu vydírání se sazbou od 5 do 12 let.
Position	Tokenization	UPOS	Head	Deprel
1	Jak	ADV	5	advmod
2	jsme	AUX	5	aux
3	v	ADP	4	case
4	LN	PROPN	5	obl
5	informovali	VERB	28	parataxis
6	,	PUNCT	5	punct
7	Jiří	PROPN	28	nsubj:pass
8	Beza	PROPN	7	flat
9	,	PUNCT	10	punct
10	David	PROPN	7	conj
11	Čechmánek	PROPN	10	flat
12	a	CCONJ	14	cc
13	další	ADJ	14	amod
14	zaměstnanec	NOUN	7	conj
15	firmy	NOUN	14	nmod
16	,	PUNCT	18	punct
17	čtyřiadvacetiletý	ADJ	18	amod
18	František	PROPN	14	appos
19	Čuba	PROPN	18	flat
20	,	PUNCT	7	punct
21	byli	AUX	28	aux:pass
22	vyšetřovatelem	NOUN	28	obl:arg
23	Krajského	ADJ	24	amod
24	úřadu	NOUN	22	nmod
25	vyšetřování	NOUN	24	nmod
26	v	ADP	27	case
27	Brně	PROPN	24	nmod
28	obviněni	ADJ	0	root
29	z	ADP	31	case
30	trestného	ADJ	31	amod
31	činu	NOUN	28	obl:arg
32	vydírání	NOUN	31	nmod
33	se	ADP	34	case
34	sazbou	NOUN	31	nmod
35	od	ADP	36	case
36	5	NUM	34	dep
37	do	ADP	39	case
38	12	NUM	39	nummod
39	let	NOUN	34	nmod
40	.	PUNCT	28	punct