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:
Elena's motorcycle tour through the region around Chernobyl has revived interest in one of the most serious nuclear disasters in history.
Postion	Tokenization
1	Elena's
2	Elena
3	's
4	motorcycle
5	tour
6	through
7	the
8	region
9	around
10	Chernobyl
11	has
12	revived
13	interest
14	in
15	one
16	of
17	the
18	most
19	serious
20	nuclear
21	disasters
22	in
23	history
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Elena's	_	None	_
2	Elena	PROPN	4	nmod:poss
3	's	PART	1	case
4	motorcycle	NOUN	4	compound
5	tour	NOUN	11	nsubj
6	through	ADP	7	case
7	the	DET	7	det
8	region	NOUN	4	nmod
9	around	ADP	9	case
10	Chernobyl	PROPN	7	nmod
11	has	AUX	11	aux
12	revived	VERB	0	root
13	interest	NOUN	11	obj
14	in	ADP	14	case
15	one	NUM	12	nmod
16	of	ADP	20	case
17	the	DET	20	det
18	most	ADV	18	advmod
19	serious	ADJ	20	amod
20	nuclear	ADJ	20	amod
21	disasters	NOUN	14	nmod
22	in	ADP	22	case
23	history	NOUN	14	nmod
24	.	PUNCT	11	punct