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 sure that you can find some hotels that are running in the christchurch area, but if not then there would be some in close by towns.
Postion	Tokenization
1	I'm
2	I
3	'm
4	sure
5	that
6	you
7	can
8	find
9	some
10	hotels
11	that
12	are
13	running
14	in
15	the
16	christchurch
17	area
18	,
19	but
20	if
21	not
22	then
23	there
24	would
25	be
26	some
27	in
28	close
29	by
30	towns
31	.
Position	Tokenization	UPOS	Head	Deprel
1	I'm	_	None	_
2	I	PRON	3	nsubj
3	'm	AUX	3	cop
4	sure	ADJ	0	root
5	that	SCONJ	7	mark
6	you	PRON	7	nsubj
7	can	AUX	7	aux
8	find	VERB	3	ccomp
9	some	DET	9	det
10	hotels	NOUN	7	obj
11	that	PRON	12	nsubj
12	are	AUX	12	aux
13	running	VERB	9	acl:relcl
14	in	ADP	16	case
15	the	DET	16	det
16	christchurch	PROPN	16	compound
17	area	NOUN	7	obl
18	,	PUNCT	24	punct
19	but	CCONJ	24	cc
20	if	SCONJ	20	mark
21	not	PART	24	advcl
22	then	ADV	24	advmod
23	there	PRON	24	expl
24	would	AUX	24	aux
25	be	VERB	3	conj
26	some	DET	24	nsubj
27	in	ADP	29	case
28	close	ADJ	29	amod
29	by	ADV	27	advmod
30	towns	NOUN	25	nmod
31	.	PUNCT	3	punct