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 felt very much like Wedding Gallery was being dishonest and I wouldn't trust them to lace me up in another gown let alone trust them with the gown I will wear on the most important day of my life.
Postion	Tokenization
1	I
2	felt
3	very
4	much
5	like
6	Wedding
7	Gallery
8	was
9	being
10	dishonest
11	and
12	I
13	wouldn't
14	would
15	n't
16	trust
17	them
18	to
19	lace
20	me
21	up
22	in
23	another
24	gown
25	let
26	alone
27	trust
28	them
29	with
30	the
31	gown
32	I
33	will
34	wear
35	on
36	the
37	most
38	important
39	day
40	of
41	my
42	life
43	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	felt	VERB	0	root
3	very	ADV	4	advmod
4	much	ADV	10	advmod
5	like	SCONJ	10	mark
6	Wedding	PROPN	7	compound
7	Gallery	PROPN	10	nsubj
8	was	AUX	10	aux
9	being	AUX	10	cop
10	dishonest	ADJ	2	advcl
11	and	CCONJ	15	cc
12	I	PRON	15	nsubj
13	wouldn't	_	None	_
14	would	AUX	15	aux
15	n't	PART	15	advmod
16	trust	VERB	2	conj
17	them	PRON	15	obj
18	to	PART	18	mark
19	lace	VERB	15	xcomp
20	me	PRON	18	obj
21	up	ADP	18	compound:prt
22	in	ADP	23	case
23	another	DET	23	det
24	gown	NOUN	18	obl
25	let	ADV	26	cc
26	alone	ADV	24	fixed
27	trust	VERB	15	conj
28	them	PRON	26	obj
29	with	ADP	30	case
30	the	DET	30	det
31	gown	NOUN	26	obl
32	I	PRON	33	nsubj
33	will	AUX	33	aux
34	wear	VERB	30	acl:relcl
35	on	ADP	38	case
36	the	DET	38	det
37	most	ADV	37	advmod
38	important	ADJ	38	amod
39	day	NOUN	33	obl
40	of	ADP	41	case
41	my	PRON	41	nmod:poss
42	life	NOUN	38	nmod
43	.	PUNCT	2	punct