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:
Don't have to mention what radiation has done and is still doing to Hirsohima & Nagaski folks--there can be no doubts about the effects of radiation in Chernobyl.......
Postion	Tokenization
1	Don't
2	Do
3	n't
4	have
5	to
6	mention
7	what
8	radiation
9	has
10	done
11	and
12	is
13	still
14	doing
15	to
16	Hirsohima
17	&
18	Nagaski
19	folks
20	--
21	there
22	can
23	be
24	no
25	doubts
26	about
27	the
28	effects
29	of
30	radiation
31	in
32	Chernobyl
33	.......
Position	Tokenization	UPOS	Head	Deprel
1	Don't	_	None	_
2	Do	AUX	3	aux
3	n't	PART	3	advmod
4	have	VERB	0	root
5	to	PART	5	mark
6	mention	VERB	3	xcomp
7	what	PRON	9	obj
8	radiation	NOUN	9	nsubj
9	has	AUX	9	aux
10	done	VERB	5	ccomp
11	and	CCONJ	13	cc
12	is	AUX	13	aux
13	still	ADV	13	advmod
14	doing	VERB	9	conj
15	to	ADP	18	case
16	Hirsohima	PROPN	18	compound
17	&	CCONJ	17	cc
18	Nagaski	PROPN	15	conj
19	folks	NOUN	9	obl
20	--	PUNCT	3	punct
21	there	PRON	22	expl
22	can	AUX	22	aux
23	be	VERB	3	parataxis
24	no	DET	24	det
25	doubts	NOUN	22	nsubj
26	about	ADP	27	case
27	the	DET	27	det
28	effects	NOUN	24	nmod
29	of	ADP	29	case
30	radiation	NOUN	27	nmod
31	in	ADP	31	case
32	Chernobyl	PROPN	29	nmod
33	.......	PUNCT	3	punct