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:
But the news of the Arakan rebels is just the tip of the iceberg when it comes to growing concern in New Delhi over the security of the Andaman Islands.
Postion	Tokenization
1	But
2	the
3	news
4	of
5	the
6	Arakan
7	rebels
8	is
9	just
10	the
11	tip
12	of
13	the
14	iceberg
15	when
16	it
17	comes
18	to
19	growing
20	concern
21	in
22	New
23	Delhi
24	over
25	the
26	security
27	of
28	the
29	Andaman
30	Islands
31	.
Position	Tokenization	UPOS	Head	Deprel
1	But	CCONJ	11	cc
2	the	DET	3	det
3	news	NOUN	11	nsubj
4	of	ADP	7	case
5	the	DET	7	det
6	Arakan	ADJ	7	amod
7	rebels	NOUN	3	nmod
8	is	AUX	11	cop
9	just	ADV	11	advmod
10	the	DET	11	det
11	tip	NOUN	0	root
12	of	ADP	14	case
13	the	DET	14	det
14	iceberg	NOUN	11	nmod
15	when	SCONJ	17	mark
16	it	PRON	17	nsubj
17	comes	VERB	11	advcl
18	to	ADP	20	case
19	growing	VERB	20	amod
20	concern	NOUN	17	obl
21	in	ADP	23	case
22	New	PROPN	23	compound
23	Delhi	PROPN	20	nmod
24	over	ADP	26	case
25	the	DET	26	det
26	security	NOUN	20	nmod
27	of	ADP	30	case
28	the	DET	30	det
29	Andaman	PROPN	30	compound
30	Islands	PROPN	26	nmod
31	.	PUNCT	11	punct