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:
A Sri Lanka-born Tamil with a Norwegian passport was arrested by Thai authorities in 2000 for his links with the LTTE.
Postion	Tokenization
1	A
2	Sri
3	Lanka
4	-
5	born
6	Tamil
7	with
8	a
9	Norwegian
10	passport
11	was
12	arrested
13	by
14	Thai
15	authorities
16	in
17	2000
18	for
19	his
20	links
21	with
22	the
23	LTTE
24	.
Position	Tokenization	UPOS	Head	Deprel
1	A	DET	6	det
2	Sri	PROPN	3	compound
3	Lanka	PROPN	5	obl:npmod
4	-	PUNCT	5	punct
5	born	VERB	6	amod
6	Tamil	PROPN	12	nsubj:pass
7	with	ADP	10	case
8	a	DET	10	det
9	Norwegian	ADJ	10	amod
10	passport	NOUN	6	nmod
11	was	AUX	12	aux:pass
12	arrested	VERB	0	root
13	by	ADP	15	case
14	Thai	ADJ	15	amod
15	authorities	NOUN	12	obl
16	in	ADP	17	case
17	2000	NUM	12	obl
18	for	ADP	20	case
19	his	PRON	20	nmod:poss
20	links	NOUN	12	obl
21	with	ADP	23	case
22	the	DET	23	det
23	LTTE	PROPN	20	nmod
24	.	PUNCT	12	punct