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 found Bright Star Tours and Travels and Best and Affordable Tour Operators and Tours Agents in Chennai, India offered me Student Tour India Package for very less price.
Postion	Tokenization
1	I
2	found
3	Bright
4	Star
5	Tours
6	and
7	Travels
8	and
9	Best
10	and
11	Affordable
12	Tour
13	Operators
14	and
15	Tours
16	Agents
17	in
18	Chennai
19	,
20	India
21	offered
22	me
23	Student
24	Tour
25	India
26	Package
27	for
28	very
29	less
30	price
31	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	found	VERB	0	root
3	Bright	PROPN	4	compound
4	Star	PROPN	5	compound
5	Tours	PROPN	21	nsubj
6	and	CCONJ	7	cc
7	Travels	PROPN	5	conj
8	and	CCONJ	13	cc
9	Best	PROPN	13	amod
10	and	CCONJ	11	cc
11	Affordable	PROPN	9	conj
12	Tour	PROPN	13	compound
13	Operators	PROPN	5	conj
14	and	CCONJ	16	cc
15	Tours	PROPN	16	compound
16	Agents	PROPN	13	conj
17	in	ADP	18	case
18	Chennai	PROPN	5	nmod
19	,	PUNCT	18	punct
20	India	PROPN	18	appos
21	offered	VERB	2	ccomp
22	me	PRON	21	iobj
23	Student	PROPN	24	compound
24	Tour	PROPN	26	compound
25	India	PROPN	26	compound
26	Package	PROPN	21	obj
27	for	ADP	30	case
28	very	ADV	29	advmod
29	less	ADJ	30	amod
30	price	NOUN	21	obl
31	.	PUNCT	2	punct