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:
Martin Odložil byl v souvislosti s vyšetřováním případu otcova zranění a následné smrti již v loňském roce obviněn z trestných činů ublížení na zdraví s následkem smrti a poškozování cizí věci.
Postion	Tokenization
1	Martin
2	Odložil
3	byl
4	v
5	souvislosti
6	s
7	vyšetřováním
8	případu
9	otcova
10	zranění
11	a
12	následné
13	smrti
14	již
15	v
16	loňském
17	roce
18	obviněn
19	z
20	trestných
21	činů
22	ublížení
23	na
24	zdraví
25	s
26	následkem
27	smrti
28	a
29	poškozování
30	cizí
31	věci
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Martin	PROPN	18	nsubj:pass
2	Odložil	PROPN	1	flat
3	byl	AUX	18	aux:pass
4	v	ADP	7	case
5	souvislosti	NOUN	4	fixed
6	s	ADP	4	fixed
7	vyšetřováním	NOUN	18	obl
8	případu	NOUN	7	nmod
9	otcova	ADJ	10	amod
10	zranění	NOUN	8	nmod
11	a	CCONJ	13	cc
12	následné	ADJ	13	amod
13	smrti	NOUN	10	conj
14	již	ADV	17	advmod:emph
15	v	ADP	17	case
16	loňském	ADJ	17	amod
17	roce	NOUN	18	obl
18	obviněn	ADJ	0	root
19	z	ADP	21	case
20	trestných	ADJ	21	amod
21	činů	NOUN	18	obl
22	ublížení	NOUN	21	nmod
23	na	ADP	24	case
24	zdraví	NOUN	22	nmod
25	s	ADP	26	case
26	následkem	NOUN	22	nmod
27	smrti	NOUN	26	nmod
28	a	CCONJ	29	cc
29	poškozování	NOUN	22	conj
30	cizí	ADJ	31	amod
31	věci	NOUN	29	nmod
32	.	PUNCT	18	punct