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:
So, no it is not as good as Dubai, but its quieter and more peaceful, and you can still go to Dubai in 45 mins.
Postion	Tokenization
1	So
2	,
3	no
4	it
5	is
6	not
7	as
8	good
9	as
10	Dubai
11	,
12	but
13	its
14	it
15	s
16	quieter
17	and
18	more
19	peaceful
20	,
21	and
22	you
23	can
24	still
25	go
26	to
27	Dubai
28	in
29	45
30	mins
31	.
Position	Tokenization	UPOS	Head	Deprel
1	So	ADV	8	advmod
2	,	PUNCT	8	punct
3	no	INTJ	8	discourse
4	it	PRON	8	nsubj
5	is	AUX	8	cop
6	not	PART	8	advmod
7	as	ADV	8	advmod
8	good	ADJ	0	root
9	as	ADP	10	case
10	Dubai	PROPN	8	obl
11	,	PUNCT	15	punct
12	but	CCONJ	15	cc
13	its	_	None	_
14	it	PRON	15	nsubj
15	s	AUX	15	cop
16	quieter	ADJ	8	conj
17	and	CCONJ	18	cc
18	more	ADV	18	advmod
19	peaceful	ADJ	15	conj
20	,	PUNCT	24	punct
21	and	CCONJ	24	cc
22	you	PRON	24	nsubj
23	can	AUX	24	aux
24	still	ADV	24	advmod
25	go	VERB	15	conj
26	to	ADP	26	case
27	Dubai	PROPN	24	obl
28	in	ADP	29	case
29	45	NUM	29	nummod
30	mins	NOUN	24	obl
31	.	PUNCT	8	punct