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: Cennosti zpět Třebíč - Vyšetřování několikanásobných vloupání do zámků v Třebíči a v Náměšti, odkud byly v minulém a v letošním roce odcizeny cennosti za několik miliónů korun, spěje podle komisaře kriminální policie v Třebíči kpt. Františka Ležáka ke konci.
Position	Tokenization	UPOS	Head	Deprel
1	Cennosti	NOUN	0	root
2	zpět	ADV	1	dep
3	Třebíč	PROPN	1	dep
4	-	PUNCT	1	punct
5	Vyšetřování	NOUN	31	nsubj
6	několikanásobných	ADJ	7	amod
7	vloupání	NOUN	5	nmod
8	do	ADP	9	case
9	zámků	NOUN	7	nmod
10	v	ADP	11	case
11	Třebíči	PROPN	9	nmod
12	a	CCONJ	14	cc
13	v	ADP	14	case
14	Náměšti	PROPN	11	conj
15	,	PUNCT	24	punct
16	odkud	ADV	24	advmod
17	byly	AUX	24	aux:pass
18	v	ADP	19	case
19	minulém	ADJ	24	dep
20	a	CCONJ	23	cc
21	v	ADP	23	case
22	letošním	ADJ	23	amod
23	roce	NOUN	19	conj
24	odcizeny	ADJ	9	amod
25	cennosti	NOUN	24	nsubj:pass
26	za	ADP	28	case
27	několik	DET	28	det:numgov
28	miliónů	NOUN	25	nmod
29	korun	NOUN	28	nmod
30	,	PUNCT	24	punct
31	spěje	VERB	1	parataxis
32	podle	ADP	33	case
33	komisaře	NOUN	31	obl
34	kriminální	ADJ	35	amod
35	policie	NOUN	33	nmod
36	v	ADP	37	case
37	Třebíči	PROPN	35	nmod
38	kpt	NOUN	41	nmod
39	.	PUNCT	38	punct
40	Františka	PROPN	41	nmod
41	Ležáka	NOUN	33	nmod
42	ke	ADP	43	case
43	konci	NOUN	31	obl
44	.	PUNCT	1	punct