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:
If you are in town and need that kind of space I say stay here but if you are looking for a little more upscale affair don't let the pictures fool you and book somewhere else.
Postion	Tokenization
1	If
2	you
3	are
4	in
5	town
6	and
7	need
8	that
9	kind
10	of
11	space
12	I
13	say
14	stay
15	here
16	but
17	if
18	you
19	are
20	looking
21	for
22	a
23	little
24	more
25	upscale
26	affair
27	don't
28	do
29	n't
30	let
31	the
32	pictures
33	fool
34	you
35	and
36	book
37	somewhere
38	else
39	.
Position	Tokenization	UPOS	Head	Deprel
1	If	SCONJ	5	mark
2	you	PRON	5	nsubj
3	are	AUX	5	cop
4	in	ADP	5	case
5	town	NOUN	13	advcl
6	and	CCONJ	7	cc
7	need	VERB	5	conj
8	that	DET	9	det
9	kind	NOUN	7	obj
10	of	ADP	11	case
11	space	NOUN	9	nmod
12	I	PRON	13	nsubj
13	say	VERB	0	root
14	stay	VERB	13	ccomp
15	here	ADV	14	advmod
16	but	CCONJ	29	cc
17	if	SCONJ	20	mark
18	you	PRON	20	nsubj
19	are	AUX	20	aux
20	looking	VERB	29	advcl
21	for	ADP	26	case
22	a	DET	23	det
23	little	ADJ	24	obl:npmod
24	more	ADV	25	advmod
25	upscale	ADJ	26	amod
26	affair	NOUN	20	obl
27	don't	_	None	_
28	do	AUX	29	aux
29	n't	PART	29	advmod
30	let	VERB	13	conj
31	the	DET	31	det
32	pictures	NOUN	29	obj
33	fool	VERB	29	xcomp
34	you	PRON	32	obj
35	and	CCONJ	35	cc
36	book	VERB	29	conj
37	somewhere	ADV	35	advmod
38	else	ADV	36	advmod
39	.	PUNCT	13	punct