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:
Aside from that little *mystery*, one of the sales ladies was quite comfortable telling me how wrong I was about how another dress that I loved compared to one of her dresses that I was trying on.
Postion	Tokenization
1	Aside
2	from
3	that
4	little
5	*
6	mystery
7	*
8	,
9	one
10	of
11	the
12	sales
13	ladies
14	was
15	quite
16	comfortable
17	telling
18	me
19	how
20	wrong
21	I
22	was
23	about
24	how
25	another
26	dress
27	that
28	I
29	loved
30	compared
31	to
32	one
33	of
34	her
35	dresses
36	that
37	I
38	was
39	trying
40	on
41	.
Position	Tokenization	UPOS	Head	Deprel
1	Aside	ADV	16	advmod
2	from	ADP	6	case
3	that	DET	6	det
4	little	ADJ	6	amod
5	*	PUNCT	6	punct
6	mystery	NOUN	1	obl
7	*	PUNCT	6	punct
8	,	PUNCT	16	punct
9	one	NUM	16	nsubj
10	of	ADP	13	case
11	the	DET	13	det
12	sales	NOUN	13	compound
13	ladies	NOUN	9	nmod
14	was	AUX	16	cop
15	quite	ADV	16	advmod
16	comfortable	ADJ	0	root
17	telling	VERB	16	advcl
18	me	PRON	17	iobj
19	how	SCONJ	20	mark
20	wrong	ADJ	17	ccomp
21	I	PRON	22	nsubj
22	was	VERB	20	acl:relcl
23	about	SCONJ	30	mark
24	how	SCONJ	30	mark
25	another	DET	26	det
26	dress	NOUN	30	nsubj
27	that	PRON	29	obj
28	I	PRON	29	nsubj
29	loved	VERB	26	acl:relcl
30	compared	VERB	22	advcl
31	to	ADP	32	case
32	one	NUM	30	obl
33	of	ADP	35	case
34	her	PRON	35	nmod:poss
35	dresses	NOUN	32	nmod
36	that	PRON	39	obj
37	I	PRON	39	nsubj
38	was	AUX	39	aux
39	trying	VERB	32	acl:relcl
40	on	ADP	39	compound:prt
41	.	PUNCT	16	punct