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:
Nejméně 127 osob zahynulo a více než 5000 bylo zraněno na jihovýchodním pobřeží Bangladéše a přilehlých ostrovech, které v noci na včerejšek zasáhl ničivý cyklón.
Postion	Tokenization
1	Nejméně
2	127
3	osob
4	zahynulo
5	a
6	více
7	než
8	5000
9	bylo
10	zraněno
11	na
12	jihovýchodním
13	pobřeží
14	Bangladéše
15	a
16	přilehlých
17	ostrovech
18	,
19	které
20	v
21	noci
22	na
23	včerejšek
24	zasáhl
25	ničivý
26	cyklón
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Nejméně	ADV	2	advmod:emph
2	127	NUM	3	nummod:gov
3	osob	NOUN	4	nsubj
4	zahynulo	VERB	0	root
5	a	CCONJ	10	cc
6	více	ADV	10	nsubj
7	než	SCONJ	8	mark
8	5000	NUM	6	obl
9	bylo	AUX	10	cop
10	zraněno	ADJ	4	conj
11	na	ADP	13	case
12	jihovýchodním	ADJ	13	amod
13	pobřeží	NOUN	10	obl
14	Bangladéše	PROPN	13	nmod
15	a	CCONJ	17	cc
16	přilehlých	ADJ	17	amod
17	ostrovech	NOUN	13	conj
18	,	PUNCT	24	punct
19	které	DET	24	obj
20	v	ADP	21	case
21	noci	NOUN	24	obl
22	na	ADP	23	case
23	včerejšek	NOUN	21	nmod
24	zasáhl	VERB	17	acl:relcl
25	ničivý	ADJ	26	amod
26	cyklón	NOUN	24	nsubj
27	.	PUNCT	4	punct