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:
We all know what happened, but even to this day, there are many different versions and opinions on how it happened and what effect Chernobyl will have on the health of people affected by the fallout.
Postion	Tokenization
1	We
2	all
3	know
4	what
5	happened
6	,
7	but
8	even
9	to
10	this
11	day
12	,
13	there
14	are
15	many
16	different
17	versions
18	and
19	opinions
20	on
21	how
22	it
23	happened
24	and
25	what
26	effect
27	Chernobyl
28	will
29	have
30	on
31	the
32	health
33	of
34	people
35	affected
36	by
37	the
38	fallout
39	.
Position	Tokenization	UPOS	Head	Deprel
1	We	PRON	3	nsubj
2	all	DET	1	det
3	know	VERB	0	root
4	what	PRON	5	nsubj
5	happened	VERB	3	ccomp
6	,	PUNCT	14	punct
7	but	CCONJ	14	cc
8	even	ADV	11	advmod
9	to	ADP	11	case
10	this	DET	11	det
11	day	NOUN	14	obl
12	,	PUNCT	14	punct
13	there	PRON	14	expl
14	are	VERB	3	conj
15	many	ADJ	17	amod
16	different	ADJ	17	amod
17	versions	NOUN	14	nsubj
18	and	CCONJ	19	cc
19	opinions	NOUN	17	conj
20	on	ADP	23	mark
21	how	SCONJ	23	mark
22	it	PRON	23	nsubj
23	happened	VERB	17	acl
24	and	CCONJ	29	cc
25	what	DET	26	det
26	effect	NOUN	29	obj
27	Chernobyl	PROPN	29	nsubj
28	will	AUX	29	aux
29	have	VERB	23	conj
30	on	ADP	32	case
31	the	DET	32	det
32	health	NOUN	29	obl
33	of	ADP	34	case
34	people	NOUN	32	nmod
35	affected	VERB	34	acl
36	by	ADP	38	case
37	the	DET	38	det
38	fallout	NOUN	35	obl
39	.	PUNCT	3	punct