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:
One of the most widespread myths of recent times is that the Chernobyl nuclear reactor accident in 1986 caused many thousands of extra cancer deaths in neighbouring regions, and that public health has been severely affected by exposure to radiation.
Postion	Tokenization
1	One
2	of
3	the
4	most
5	widespread
6	myths
7	of
8	recent
9	times
10	is
11	that
12	the
13	Chernobyl
14	nuclear
15	reactor
16	accident
17	in
18	1986
19	caused
20	many
21	thousands
22	of
23	extra
24	cancer
25	deaths
26	in
27	neighbouring
28	regions
29	,
30	and
31	that
32	public
33	health
34	has
35	been
36	severely
37	affected
38	by
39	exposure
40	to
41	radiation
42	.
Position	Tokenization	UPOS	Head	Deprel
1	One	NUM	10	nsubj
2	of	ADP	6	case
3	the	DET	6	det
4	most	ADV	5	advmod
5	widespread	ADJ	6	amod
6	myths	NOUN	1	nmod
7	of	ADP	9	case
8	recent	ADJ	9	amod
9	times	NOUN	6	nmod
10	is	VERB	0	root
11	that	SCONJ	19	mark
12	the	DET	16	det
13	Chernobyl	PROPN	16	compound
14	nuclear	ADJ	15	amod
15	reactor	NOUN	16	compound
16	accident	NOUN	19	nsubj
17	in	ADP	18	case
18	1986	NUM	16	nmod
19	caused	VERB	10	ccomp
20	many	ADJ	21	amod
21	thousands	NOUN	19	obj
22	of	ADP	25	case
23	extra	ADJ	25	amod
24	cancer	NOUN	25	compound
25	deaths	NOUN	21	nmod
26	in	ADP	28	case
27	neighbouring	VERB	28	amod
28	regions	NOUN	19	obl
29	,	PUNCT	37	punct
30	and	CCONJ	37	cc
31	that	SCONJ	37	mark
32	public	ADJ	33	amod
33	health	NOUN	37	nsubj:pass
34	has	AUX	37	aux
35	been	AUX	37	aux:pass
36	severely	ADV	37	advmod
37	affected	VERB	19	conj
38	by	ADP	39	case
39	exposure	NOUN	37	obl
40	to	ADP	41	case
41	radiation	NOUN	39	nmod
42	.	PUNCT	10	punct