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:
I'm looking to visit India with some mates at the beginning of February next year and I am wandering what standard of accommodation we could get for Rs 500 per person per night.
Postion	Tokenization
1	I'm
2	I
3	'm
4	looking
5	to
6	visit
7	India
8	with
9	some
10	mates
11	at
12	the
13	beginning
14	of
15	February
16	next
17	year
18	and
19	I
20	am
21	wandering
22	what
23	standard
24	of
25	accommodation
26	we
27	could
28	get
29	for
30	Rs
31	500
32	per
33	person
34	per
35	night
36	.
Position	Tokenization	UPOS	Head	Deprel
1	I'm	_	None	_
2	I	PRON	3	nsubj
3	'm	AUX	3	aux
4	looking	VERB	0	root
5	to	PART	5	mark
6	visit	VERB	3	xcomp
7	India	PROPN	5	obj
8	with	ADP	9	case
9	some	DET	9	det
10	mates	NOUN	5	obl
11	at	ADP	12	case
12	the	DET	12	det
13	beginning	NOUN	5	obl
14	of	ADP	14	case
15	February	PROPN	12	nmod
16	next	ADJ	16	amod
17	year	NOUN	5	obl:tmod
18	and	CCONJ	20	cc
19	I	PRON	20	nsubj
20	am	AUX	20	aux
21	wandering	VERB	3	conj
22	what	DET	22	det
23	standard	NOUN	27	obj
24	of	ADP	24	case
25	accommodation	NOUN	22	nmod
26	we	PRON	27	nsubj
27	could	AUX	27	aux
28	get	VERB	20	ccomp
29	for	ADP	29	case
30	Rs	SYM	27	obl
31	500	NUM	29	nummod
32	per	ADP	32	case
33	person	NOUN	29	nmod
34	per	ADP	34	case
35	night	NOUN	29	nmod
36	.	PUNCT	3	punct