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:
The dramatic increase in radiation-induced thyroid cancers in children and adolescents in Belarus, Russia, and Ukraine, which have been observed since 1991, continues to this day.
Postion	Tokenization
1	The
2	dramatic
3	increase
4	in
5	radiation
6	-
7	induced
8	thyroid
9	cancers
10	in
11	children
12	and
13	adolescents
14	in
15	Belarus
16	,
17	Russia
18	,
19	and
20	Ukraine
21	,
22	which
23	have
24	been
25	observed
26	since
27	1991
28	,
29	continues
30	to
31	this
32	day
33	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	3	det
2	dramatic	ADJ	3	amod
3	increase	NOUN	29	nsubj
4	in	ADP	9	case
5	radiation	NOUN	7	compound
6	-	PUNCT	7	punct
7	induced	VERB	9	amod
8	thyroid	NOUN	9	compound
9	cancers	NOUN	3	nmod
10	in	ADP	11	case
11	children	NOUN	3	nmod
12	and	CCONJ	13	cc
13	adolescents	NOUN	11	conj
14	in	ADP	15	case
15	Belarus	PROPN	3	nmod
16	,	PUNCT	17	punct
17	Russia	PROPN	15	conj
18	,	PUNCT	20	punct
19	and	CCONJ	20	cc
20	Ukraine	PROPN	15	conj
21	,	PUNCT	3	punct
22	which	PRON	25	nsubj:pass
23	have	AUX	25	aux
24	been	AUX	25	aux:pass
25	observed	VERB	3	acl:relcl
26	since	ADP	27	case
27	1991	NUM	25	obl
28	,	PUNCT	29	punct
29	continues	VERB	0	root
30	to	ADP	32	case
31	this	DET	32	det
32	day	NOUN	29	obl
33	.	PUNCT	29	punct