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:
The route from Kalikhola in Bhutan to Cox's Bazar passes through northern Bengal, Assam and Meghalaya, and on into Chittagong.
Postion	Tokenization
1	The
2	route
3	from
4	Kalikhola
5	in
6	Bhutan
7	to
8	Cox's
9	Cox
10	's
11	Bazar
12	passes
13	through
14	northern
15	Bengal
16	,
17	Assam
18	and
19	Meghalaya
20	,
21	and
22	on
23	into
24	Chittagong
25	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	2	det
2	route	NOUN	11	nsubj
3	from	ADP	4	case
4	Kalikhola	PROPN	2	nmod
5	in	ADP	6	case
6	Bhutan	PROPN	4	nmod
7	to	ADP	10	case
8	Cox's	_	None	_
9	Cox	PROPN	10	nmod:poss
10	's	PART	8	case
11	Bazar	PROPN	2	nmod
12	passes	VERB	0	root
13	through	ADP	14	case
14	northern	ADJ	14	amod
15	Bengal	PROPN	11	obl
16	,	PUNCT	16	punct
17	Assam	PROPN	14	conj
18	and	CCONJ	18	cc
19	Meghalaya	PROPN	14	conj
20	,	PUNCT	23	punct
21	and	CCONJ	23	cc
22	on	ADV	23	advmod
23	into	ADP	23	case
24	Chittagong	PROPN	14	conj
25	.	PUNCT	11	punct