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:
Josef Odložil zemřel loni v září na následky zranění, které utrpěl v noci na 7. srpen na diskotéce v restauraci U Cimbury v Bělé pod Pradědem na Šumpersku.
Postion	Tokenization
1	Josef
2	Odložil
3	zemřel
4	loni
5	v
6	září
7	na
8	následky
9	zranění
10	,
11	které
12	utrpěl
13	v
14	noci
15	na
16	7
17	.
18	srpen
19	na
20	diskotéce
21	v
22	restauraci
23	U
24	Cimbury
25	v
26	Bělé
27	pod
28	Pradědem
29	na
30	Šumpersku
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Josef	PROPN	3	nsubj
2	Odložil	PROPN	1	flat
3	zemřel	VERB	0	root
4	loni	ADV	3	advmod
5	v	ADP	6	case
6	září	NOUN	3	obl
7	na	ADP	8	case
8	následky	NOUN	3	obl
9	zranění	NOUN	8	nmod
10	,	PUNCT	12	punct
11	které	DET	12	obj
12	utrpěl	VERB	9	acl:relcl
13	v	ADP	14	case
14	noci	NOUN	12	obl
15	na	ADP	18	case
16	7	NUM	18	nummod
17	.	PUNCT	16	punct
18	srpen	NOUN	14	nmod
19	na	ADP	20	case
20	diskotéce	NOUN	12	obl
21	v	ADP	22	case
22	restauraci	NOUN	20	nmod
23	U	ADP	24	case
24	Cimbury	PROPN	22	nmod
25	v	ADP	26	case
26	Bělé	PROPN	12	obl
27	pod	ADP	28	case
28	Pradědem	PROPN	26	nmod
29	na	ADP	30	case
30	Šumpersku	PROPN	26	nmod
31	.	PUNCT	3	punct