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 most of them have few technical skills, and the Andamans have little demand for them in any case, they turn to smuggling and other unlawful activities.
Postion	Tokenization
1	As
2	most
3	of
4	them
5	have
6	few
7	technical
8	skills
9	,
10	and
11	the
12	Andamans
13	have
14	little
15	demand
16	for
17	them
18	in
19	any
20	case
21	,
22	they
23	turn
24	to
25	smuggling
26	and
27	other
28	unlawful
29	activities
30	.
Position	Tokenization	UPOS	Head	Deprel
1	As	SCONJ	5	mark
2	most	ADJ	5	nsubj
3	of	ADP	4	case
4	them	PRON	2	nmod
5	have	VERB	23	advcl
6	few	ADJ	8	amod
7	technical	ADJ	8	amod
8	skills	NOUN	5	obj
9	,	PUNCT	13	punct
10	and	CCONJ	13	cc
11	the	DET	12	det
12	Andamans	PROPN	13	nsubj
13	have	VERB	5	conj
14	little	ADJ	15	amod
15	demand	NOUN	13	obj
16	for	ADP	17	case
17	them	PRON	15	nmod
18	in	ADP	20	case
19	any	DET	20	det
20	case	NOUN	13	obl
21	,	PUNCT	23	punct
22	they	PRON	23	nsubj
23	turn	VERB	0	root
24	to	ADP	25	case
25	smuggling	NOUN	23	obl
26	and	CCONJ	29	cc
27	other	ADJ	29	amod
28	unlawful	ADJ	29	amod
29	activities	NOUN	25	conj
30	.	PUNCT	23	punct