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:
Reports from Port Blair make it evident that New Delhi gets little on-the-ground intelligence, and the Indian Coast Guard is grossly unequipped to deal with the surge of illegal migrants to the islands.
Postion	Tokenization
1	Reports
2	from
3	Port
4	Blair
5	make
6	it
7	evident
8	that
9	New
10	Delhi
11	gets
12	little
13	on
14	-
15	the
16	-
17	ground
18	intelligence
19	,
20	and
21	the
22	Indian
23	Coast
24	Guard
25	is
26	grossly
27	unequipped
28	to
29	deal
30	with
31	the
32	surge
33	of
34	illegal
35	migrants
36	to
37	the
38	islands
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Reports	NOUN	5	nsubj
2	from	ADP	4	case
3	Port	PROPN	4	compound
4	Blair	PROPN	1	nmod
5	make	VERB	0	root
6	it	PRON	5	expl
7	evident	ADJ	5	xcomp
8	that	SCONJ	11	mark
9	New	PROPN	10	compound
10	Delhi	PROPN	11	nsubj
11	gets	VERB	5	ccomp
12	little	ADJ	18	amod
13	on	ADP	17	case
14	-	PUNCT	17	punct
15	the	DET	17	det
16	-	PUNCT	17	punct
17	ground	NOUN	18	compound
18	intelligence	NOUN	11	obj
19	,	PUNCT	27	punct
20	and	CCONJ	27	cc
21	the	DET	24	det
22	Indian	ADJ	24	amod
23	Coast	PROPN	24	compound
24	Guard	PROPN	27	nsubj
25	is	AUX	27	cop
26	grossly	ADV	27	advmod
27	unequipped	ADJ	5	conj
28	to	PART	29	mark
29	deal	VERB	27	advcl
30	with	ADP	32	case
31	the	DET	32	det
32	surge	NOUN	29	obl
33	of	ADP	35	case
34	illegal	ADJ	35	amod
35	migrants	NOUN	32	nmod
36	to	ADP	38	case
37	the	DET	38	det
38	islands	NOUN	32	nmod
39	.	PUNCT	5	punct