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:
On South Andaman, the most heavily populated island, is Port Blair, which is the capital and the only large town in the entire archipelago.
Postion	Tokenization
1	On
2	South
3	Andaman
4	,
5	the
6	most
7	heavily
8	populated
9	island
10	,
11	is
12	Port
13	Blair
14	,
15	which
16	is
17	the
18	capital
19	and
20	the
21	only
22	large
23	town
24	in
25	the
26	entire
27	archipelago
28	.
Position	Tokenization	UPOS	Head	Deprel
1	On	ADP	3	case
2	South	PROPN	3	compound
3	Andaman	PROPN	13	obl
4	,	PUNCT	13	punct
5	the	DET	9	det
6	most	ADV	7	advmod
7	heavily	ADV	8	advmod
8	populated	VERB	9	amod
9	island	NOUN	13	nsubj
10	,	PUNCT	13	punct
11	is	AUX	13	cop
12	Port	PROPN	13	compound
13	Blair	PROPN	0	root
14	,	PUNCT	13	punct
15	which	PRON	18	nsubj
16	is	AUX	18	cop
17	the	DET	18	det
18	capital	NOUN	13	acl:relcl
19	and	CCONJ	23	cc
20	the	DET	23	det
21	only	ADV	23	advmod
22	large	ADJ	23	amod
23	town	NOUN	18	conj
24	in	ADP	27	case
25	the	DET	27	det
26	entire	ADJ	27	amod
27	archipelago	NOUN	23	nmod
28	.	PUNCT	13	punct