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:
You may find a normal budget hotel for Rs 1000 per night in the cities you mentioned, the links below may help you to find good hotels in Delhi and Agra.
Postion	Tokenization
1	You
2	may
3	find
4	a
5	normal
6	budget
7	hotel
8	for
9	Rs
10	1000
11	per
12	night
13	in
14	the
15	cities
16	you
17	mentioned
18	,
19	the
20	links
21	below
22	may
23	help
24	you
25	to
26	find
27	good
28	hotels
29	in
30	Delhi
31	and
32	Agra
33	.
Position	Tokenization	UPOS	Head	Deprel
1	You	PRON	3	nsubj
2	may	AUX	3	aux
3	find	VERB	0	root
4	a	DET	7	det
5	normal	ADJ	7	amod
6	budget	NOUN	7	compound
7	hotel	NOUN	3	obj
8	for	ADP	9	case
9	Rs	SYM	3	obl
10	1000	NUM	9	nummod
11	per	ADP	12	case
12	night	NOUN	9	nmod
13	in	ADP	15	case
14	the	DET	15	det
15	cities	NOUN	3	obl
16	you	PRON	17	nsubj
17	mentioned	VERB	15	acl:relcl
18	,	PUNCT	3	punct
19	the	DET	20	det
20	links	NOUN	23	nsubj
21	below	ADV	20	advmod
22	may	AUX	23	aux
23	help	VERB	3	parataxis
24	you	PRON	23	obj
25	to	PART	26	mark
26	find	VERB	23	xcomp
27	good	ADJ	28	amod
28	hotels	NOUN	26	obj
29	in	ADP	30	case
30	Delhi	PROPN	28	nmod
31	and	CCONJ	32	cc
32	Agra	PROPN	30	conj
33	.	PUNCT	3	punct