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:
An official estimate issued in 2003 suggests there are 50,000 "foreigners" in the Andaman Islands, but unofficial figures are much higher than this.
Postion	Tokenization
1	An
2	official
3	estimate
4	issued
5	in
6	2003
7	suggests
8	there
9	are
10	50,000
11	"
12	foreigners
13	"
14	in
15	the
16	Andaman
17	Islands
18	,
19	but
20	unofficial
21	figures
22	are
23	much
24	higher
25	than
26	this
27	.
Position	Tokenization	UPOS	Head	Deprel
1	An	DET	3	det
2	official	ADJ	3	amod
3	estimate	NOUN	7	nsubj
4	issued	VERB	3	acl
5	in	ADP	6	case
6	2003	NUM	4	obl
7	suggests	VERB	0	root
8	there	PRON	9	expl
9	are	VERB	7	ccomp
10	50,000	NUM	12	nummod
11	"	PUNCT	12	punct
12	foreigners	NOUN	9	nsubj
13	"	PUNCT	12	punct
14	in	ADP	17	case
15	the	DET	17	det
16	Andaman	PROPN	17	compound
17	Islands	PROPN	9	obl
18	,	PUNCT	24	punct
19	but	CCONJ	24	cc
20	unofficial	ADJ	21	amod
21	figures	NOUN	24	nsubj
22	are	AUX	24	cop
23	much	ADV	24	advmod
24	higher	ADJ	7	conj
25	than	ADP	26	case
26	this	PRON	24	obl
27	.	PUNCT	7	punct