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:
As a result, north of the Andaman Islands, Bangladeshi coastal areas have become a nest of terrorists involved in the shipment of drugs and arms.
Postion	Tokenization
1	As
2	a
3	result
4	,
5	north
6	of
7	the
8	Andaman
9	Islands
10	,
11	Bangladeshi
12	coastal
13	areas
14	have
15	become
16	a
17	nest
18	of
19	terrorists
20	involved
21	in
22	the
23	shipment
24	of
25	drugs
26	and
27	arms
28	.
Position	Tokenization	UPOS	Head	Deprel
1	As	ADP	3	case
2	a	DET	3	det
3	result	NOUN	17	nmod
4	,	PUNCT	15	punct
5	north	ADV	15	advmod
6	of	ADP	9	case
7	the	DET	9	det
8	Andaman	PROPN	9	compound
9	Islands	PROPN	5	obl
10	,	PUNCT	15	punct
11	Bangladeshi	ADJ	13	amod
12	coastal	NOUN	13	compound
13	areas	NOUN	15	nsubj
14	have	AUX	15	aux
15	become	VERB	0	root
16	a	DET	17	det
17	nest	NOUN	15	xcomp
18	of	ADP	19	case
19	terrorists	NOUN	17	nmod
20	involved	ADJ	19	amod
21	in	ADP	23	case
22	the	DET	23	det
23	shipment	NOUN	20	obl
24	of	ADP	25	case
25	drugs	NOUN	23	nmod
26	and	CCONJ	27	cc
27	arms	NOUN	25	conj
28	.	PUNCT	17	punct