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:
Last June, an international initiative led by Japan to persuade the LTTE to come back to the negotiating table failed despite an aid package offer of US$4.5 billion.
Postion	Tokenization
1	Last
2	June
3	,
4	an
5	international
6	initiative
7	led
8	by
9	Japan
10	to
11	persuade
12	the
13	LTTE
14	to
15	come
16	back
17	to
18	the
19	negotiating
20	table
21	failed
22	despite
23	an
24	aid
25	package
26	offer
27	of
28	US$
29	4.5
30	billion
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Last	ADJ	2	amod
2	June	PROPN	21	obl:tmod
3	,	PUNCT	21	punct
4	an	DET	6	det
5	international	ADJ	6	amod
6	initiative	NOUN	21	nsubj
7	led	VERB	6	acl
8	by	ADP	9	case
9	Japan	PROPN	7	obl
10	to	PART	11	mark
11	persuade	VERB	6	acl
12	the	DET	13	det
13	LTTE	PROPN	11	obj
14	to	PART	15	mark
15	come	VERB	11	xcomp
16	back	ADV	15	advmod
17	to	ADP	20	case
18	the	DET	20	det
19	negotiating	NOUN	20	compound
20	table	NOUN	16	obl
21	failed	VERB	0	root
22	despite	ADP	26	case
23	an	DET	26	det
24	aid	NOUN	25	compound
25	package	NOUN	26	compound
26	offer	NOUN	21	obl
27	of	ADP	28	case
28	US$	SYM	26	nmod
29	4.5	NUM	28	compound
30	billion	NUM	28	compound
31	.	PUNCT	21	punct