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:
India had to pull back its forces from Sri Lanka in 1989 following the election of Ranasinghe Premadasa, a strong critic of Indian mediation.
Postion	Tokenization
1	India
2	had
3	to
4	pull
5	back
6	its
7	forces
8	from
9	Sri
10	Lanka
11	in
12	1989
13	following
14	the
15	election
16	of
17	Ranasinghe
18	Premadasa
19	,
20	a
21	strong
22	critic
23	of
24	Indian
25	mediation
26	.
Position	Tokenization	UPOS	Head	Deprel
1	India	PROPN	2	nsubj
2	had	VERB	0	root
3	to	PART	4	mark
4	pull	VERB	2	xcomp
5	back	ADV	4	advmod
6	its	PRON	7	nmod:poss
7	forces	NOUN	4	obj
8	from	ADP	10	case
9	Sri	PROPN	10	compound
10	Lanka	PROPN	4	obl
11	in	ADP	12	case
12	1989	NUM	4	obl
13	following	VERB	15	case
14	the	DET	15	det
15	election	NOUN	4	obl
16	of	ADP	17	case
17	Ranasinghe	PROPN	15	nmod
18	Premadasa	PROPN	17	flat
19	,	PUNCT	17	punct
20	a	DET	22	det
21	strong	ADJ	22	amod
22	critic	NOUN	17	appos
23	of	ADP	25	case
24	Indian	ADJ	25	amod
25	mediation	NOUN	22	nmod
26	.	PUNCT	2	punct