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 keeps what it has while Pakistan and China (which was gifted a slice of the territory three decades ago) do likewise.
Postion	Tokenization
1	India
2	keeps
3	what
4	it
5	has
6	while
7	Pakistan
8	and
9	China
10	(
11	which
12	was
13	gifted
14	a
15	slice
16	of
17	the
18	territory
19	three
20	decades
21	ago
22	)
23	do
24	likewise
25	.
Position	Tokenization	UPOS	Head	Deprel
1	India	PROPN	2	nsubj
2	keeps	VERB	0	root
3	what	PRON	5	obj
4	it	PRON	5	nsubj
5	has	VERB	2	ccomp
6	while	SCONJ	23	mark
7	Pakistan	PROPN	23	nsubj
8	and	CCONJ	9	cc
9	China	PROPN	7	conj
10	(	PUNCT	13	punct
11	which	PRON	13	nsubj:pass
12	was	AUX	13	aux:pass
13	gifted	VERB	9	acl:relcl
14	a	DET	15	det
15	slice	NOUN	13	obj
16	of	ADP	18	case
17	the	DET	18	det
18	territory	NOUN	15	nmod
19	three	NUM	20	nummod
20	decades	NOUN	21	obl:npmod
21	ago	ADV	13	advmod
22	)	PUNCT	13	punct
23	do	VERB	2	advcl
24	likewise	ADV	23	advmod
25	.	PUNCT	2	punct