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:
And that explains the delay in the signing of a formal defense agreement that was at the heart of Sri Lankan President Chandrika Kumaratunga's four-day visit to India recently.
Postion	Tokenization
1	And
2	that
3	explains
4	the
5	delay
6	in
7	the
8	signing
9	of
10	a
11	formal
12	defense
13	agreement
14	that
15	was
16	at
17	the
18	heart
19	of
20	Sri
21	Lankan
22	President
23	Chandrika
24	Kumaratunga's
25	Kumaratunga
26	's
27	four
28	-
29	day
30	visit
31	to
32	India
33	recently
34	.
Position	Tokenization	UPOS	Head	Deprel
1	And	CCONJ	3	cc
2	that	PRON	3	nsubj
3	explains	VERB	0	root
4	the	DET	5	det
5	delay	NOUN	3	obj
6	in	ADP	8	case
7	the	DET	8	det
8	signing	NOUN	5	nmod
9	of	ADP	13	case
10	a	DET	13	det
11	formal	ADJ	13	amod
12	defense	NOUN	13	compound
13	agreement	NOUN	8	nmod
14	that	PRON	18	nsubj
15	was	AUX	18	cop
16	at	ADP	18	case
17	the	DET	18	det
18	heart	NOUN	13	acl:relcl
19	of	ADP	29	case
20	Sri	ADJ	21	amod
21	Lankan	ADJ	22	amod
22	President	PROPN	29	nmod:poss
23	Chandrika	PROPN	22	flat
24	Kumaratunga's	_	None	_
25	Kumaratunga	PROPN	22	flat
26	's	PART	22	case
27	four	NUM	28	nummod
28	-	PUNCT	28	punct
29	day	NOUN	29	compound
30	visit	NOUN	18	nmod
31	to	ADP	31	case
32	India	PROPN	29	nmod
33	recently	ADV	29	advmod
34	.	PUNCT	3	punct