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:
zpočátku oficiálně 31 mrtvých a 145 ozářených, nejméně 100000 lidí evakuováno, zamořeno 415 obcí různé velikosti s celkovým počtem 103000 obyvatel;
Postion	Tokenization
1	zpočátku
2	oficiálně
3	31
4	mrtvých
5	a
6	145
7	ozářených
8	_
9	,
10	nejméně
11	100000
12	lidí
13	evakuováno
14	_
15	,
16	zamořeno
17	415
18	obcí
19	různé
20	velikosti
21	s
22	celkovým
23	počtem
24	103000
25	obyvatel
26	;
Position	Tokenization	UPOS	Head	Deprel
1	zpočátku	ADV	12	advmod
2	oficiálně	ADV	12	advmod
3	31	NUM	0	root
4	mrtvých	ADJ	3	amod
5	a	CCONJ	6	cc
6	145	NUM	3	conj
7	ozářených	ADJ	6	amod
8	_	_	None	_
9	,	PUNCT	11	punct
10	nejméně	ADV	10	advmod
11	100000	NUM	11	nummod:gov
12	lidí	NOUN	3	conj
13	evakuováno	ADJ	11	orphan
14	_	_	None	_
15	,	PUNCT	14	punct
16	zamořeno	ADJ	3	conj
17	415	NUM	16	nummod:gov
18	obcí	NOUN	14	orphan
19	různé	ADJ	18	amod
20	velikosti	NOUN	16	nmod
21	s	ADP	21	case
22	celkovým	ADJ	21	amod
23	počtem	NOUN	16	nmod
24	103000	NUM	21	nummod
25	obyvatel	NOUN	22	nmod
26	;	PUNCT	3	punct