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 prestigious IAEA (International Atomic Energy Agency) published an early report on Chernobyl which was based on information from Russian sources and stated that there was no significant health effects.
Postion	Tokenization
1	The
2	prestigious
3	IAEA
4	(
5	International
6	Atomic
7	Energy
8	Agency
9	)
10	published
11	an
12	early
13	report
14	on
15	Chernobyl
16	which
17	was
18	based
19	on
20	information
21	from
22	Russian
23	sources
24	and
25	stated
26	that
27	there
28	was
29	no
30	significant
31	health
32	effects
33	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	3	det
2	prestigious	ADJ	3	amod
3	IAEA	PROPN	10	nsubj
4	(	PUNCT	8	punct
5	International	PROPN	8	compound
6	Atomic	PROPN	7	compound
7	Energy	PROPN	8	compound
8	Agency	PROPN	3	appos
9	)	PUNCT	8	punct
10	published	VERB	0	root
11	an	DET	13	det
12	early	ADJ	13	amod
13	report	NOUN	10	obj
14	on	ADP	15	case
15	Chernobyl	PROPN	13	nmod
16	which	PRON	18	nsubj:pass
17	was	AUX	18	aux:pass
18	based	VERB	13	acl:relcl
19	on	ADP	20	case
20	information	NOUN	18	obl
21	from	ADP	23	case
22	Russian	ADJ	23	amod
23	sources	NOUN	20	nmod
24	and	CCONJ	25	cc
25	stated	VERB	10	conj
26	that	SCONJ	28	mark
27	there	PRON	28	expl
28	was	VERB	25	ccomp
29	no	DET	32	det
30	significant	ADJ	32	amod
31	health	NOUN	32	compound
32	effects	NOUN	28	nsubj
33	.	PUNCT	10	punct