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:
At the time of his arrest, the suspect was allegedly involved in constructing a "submarine" in a shipyard on the island of Sirae near Phuket on the Andaman Sea coast.
Postion	Tokenization
1	At
2	the
3	time
4	of
5	his
6	arrest
7	,
8	the
9	suspect
10	was
11	allegedly
12	involved
13	in
14	constructing
15	a
16	"
17	submarine
18	"
19	in
20	a
21	shipyard
22	on
23	the
24	island
25	of
26	Sirae
27	near
28	Phuket
29	on
30	the
31	Andaman
32	Sea
33	coast
34	.
Position	Tokenization	UPOS	Head	Deprel
1	At	ADP	3	case
2	the	DET	3	det
3	time	NOUN	12	obl
4	of	ADP	6	case
5	his	PRON	6	nmod:poss
6	arrest	NOUN	3	nmod
7	,	PUNCT	12	punct
8	the	DET	9	det
9	suspect	NOUN	12	nsubj
10	was	AUX	12	cop
11	allegedly	ADV	12	advmod
12	involved	ADJ	0	root
13	in	SCONJ	14	mark
14	constructing	VERB	12	advcl
15	a	DET	17	det
16	"	PUNCT	17	punct
17	submarine	NOUN	14	obj
18	"	PUNCT	17	punct
19	in	ADP	21	case
20	a	DET	21	det
21	shipyard	NOUN	14	obl
22	on	ADP	24	case
23	the	DET	24	det
24	island	NOUN	14	obl
25	of	ADP	26	case
26	Sirae	PROPN	24	nmod
27	near	ADP	28	case
28	Phuket	PROPN	24	nmod
29	on	ADP	33	case
30	the	DET	33	det
31	Andaman	PROPN	32	compound
32	Sea	PROPN	33	compound
33	coast	NOUN	24	nmod
34	.	PUNCT	12	punct