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:
Hmmm... A person cannot call a company, if you have no idea its name (since the designer is unknown... SUPPOSEDLY), and order a gown without a dress name or style number.
Postion	Tokenization
1	Hmmm
2	...
3	A
4	person
5	cannot
6	can
7	not
8	call
9	a
10	company
11	,
12	if
13	you
14	have
15	no
16	idea
17	its
18	name
19	(
20	since
21	the
22	designer
23	is
24	unknown
25	...
26	SUPPOSEDLY
27	)
28	,
29	and
30	order
31	a
32	gown
33	without
34	a
35	dress
36	name
37	or
38	style
39	number
40	.
Position	Tokenization	UPOS	Head	Deprel
1	Hmmm	INTJ	7	discourse
2	...	PUNCT	7	punct
3	A	DET	4	det
4	person	NOUN	7	nsubj
5	cannot	_	None	_
6	can	AUX	7	aux
7	not	PART	7	advmod
8	call	VERB	0	root
9	a	DET	9	det
10	company	NOUN	7	obj
11	,	PUNCT	7	punct
12	if	SCONJ	13	mark
13	you	PRON	13	nsubj
14	have	VERB	7	advcl
15	no	DET	15	det
16	idea	NOUN	13	obj
17	its	PRON	17	nmod:poss
18	name	NOUN	15	obj
19	(	PUNCT	23	punct
20	since	SCONJ	23	mark
21	the	DET	21	det
22	designer	NOUN	23	nsubj
23	is	AUX	23	cop
24	unknown	ADJ	13	advcl
25	...	PUNCT	23	punct
26	SUPPOSEDLY	ADV	23	advmod
27	)	PUNCT	23	punct
28	,	PUNCT	29	punct
29	and	CCONJ	29	cc
30	order	VERB	7	conj
31	a	DET	31	det
32	gown	NOUN	29	obj
33	without	ADP	35	case
34	a	DET	35	det
35	dress	NOUN	35	compound
36	name	NOUN	29	obl
37	or	CCONJ	38	cc
38	style	NOUN	38	compound
39	number	NOUN	35	conj
40	.	PUNCT	7	punct