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:
Podle výroční zprávy přišlo o život dalších 33 novinářů, u nichž se nepodařilo s určitostí zjistit, zda je smrt zastihla při plnění profesionálních úkolů.
Postion	Tokenization
1	Podle
2	výroční
3	zprávy
4	přišlo
5	o
6	život
7	dalších
8	33
9	novinářů
10	,
11	u
12	nichž
13	se
14	nepodařilo
15	s
16	určitostí
17	zjistit
18	,
19	zda
20	je
21	smrt
22	zastihla
23	při
24	plnění
25	profesionálních
26	úkolů
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Podle	ADP	3	case
2	výroční	ADJ	3	amod
3	zprávy	NOUN	4	obl
4	přišlo	VERB	0	root
5	o	ADP	6	case
6	život	NOUN	4	obl:arg
7	dalších	ADJ	8	amod
8	33	NUM	9	nummod:gov
9	novinářů	NOUN	4	nsubj
10	,	PUNCT	14	punct
11	u	ADP	12	case
12	nichž	PRON	14	obl
13	se	PRON	14	expl:pv
14	nepodařilo	VERB	9	acl:relcl
15	s	ADP	16	case
16	určitostí	NOUN	17	obl
17	zjistit	VERB	14	csubj
18	,	PUNCT	22	punct
19	zda	SCONJ	22	mark
20	je	PRON	22	obj
21	smrt	NOUN	22	nsubj
22	zastihla	VERB	17	ccomp
23	při	ADP	24	case
24	plnění	NOUN	22	obl
25	profesionálních	ADJ	26	amod
26	úkolů	NOUN	24	nmod
27	.	PUNCT	4	punct