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 will be traveling in this area in the future and you can be assured that this experience will be helpful in my choice of hotels and Novotel will be my first selection.
Postion	Tokenization
1	I
2	will
3	be
4	traveling
5	in
6	this
7	area
8	in
9	the
10	future
11	and
12	you
13	can
14	be
15	assured
16	that
17	this
18	experience
19	will
20	be
21	helpful
22	in
23	my
24	choice
25	of
26	hotels
27	and
28	Novotel
29	will
30	be
31	my
32	first
33	selection
34	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	4	nsubj
2	will	AUX	4	aux
3	be	AUX	4	aux
4	traveling	VERB	0	root
5	in	ADP	7	case
6	this	DET	7	det
7	area	NOUN	4	obl
8	in	ADP	10	case
9	the	DET	10	det
10	future	NOUN	4	obl
11	and	CCONJ	15	cc
12	you	PRON	15	nsubj:pass
13	can	AUX	15	aux
14	be	AUX	15	aux:pass
15	assured	VERB	4	conj
16	that	SCONJ	21	mark
17	this	DET	18	det
18	experience	NOUN	21	nsubj
19	will	AUX	21	aux
20	be	AUX	21	cop
21	helpful	ADJ	15	ccomp
22	in	ADP	24	case
23	my	PRON	24	nmod:poss
24	choice	NOUN	21	obl
25	of	ADP	26	case
26	hotels	NOUN	24	nmod
27	and	CCONJ	33	cc
28	Novotel	PROPN	33	nsubj
29	will	AUX	33	aux
30	be	AUX	33	cop
31	my	PRON	33	nmod:poss
32	first	ADJ	33	amod
33	selection	NOUN	21	conj
34	.	PUNCT	4	punct