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 large number of them are Bangladeshis, who like millions of their countrymen have left their densely populated homeland to settle elsewhere.
Postion	Tokenization
1	A
2	large
3	number
4	of
5	them
6	are
7	Bangladeshis
8	,
9	who
10	like
11	millions
12	of
13	their
14	countrymen
15	have
16	left
17	their
18	densely
19	populated
20	homeland
21	to
22	settle
23	elsewhere
24	.
Position	Tokenization	UPOS	Head	Deprel
1	A	DET	3	det
2	large	ADJ	3	amod
3	number	NOUN	7	nsubj
4	of	ADP	5	case
5	them	PRON	3	nmod
6	are	AUX	7	cop
7	Bangladeshis	PROPN	0	root
8	,	PUNCT	7	punct
9	who	PRON	16	nsubj
10	like	ADP	11	case
11	millions	NOUN	16	obl
12	of	ADP	14	case
13	their	PRON	14	nmod:poss
14	countrymen	NOUN	11	nmod
15	have	AUX	16	aux
16	left	VERB	7	acl:relcl
17	their	PRON	20	nmod:poss
18	densely	ADV	19	advmod
19	populated	VERB	20	amod
20	homeland	NOUN	16	obj
21	to	PART	22	mark
22	settle	VERB	16	advcl
23	elsewhere	ADV	22	advmod
24	.	PUNCT	7	punct