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:
They felt like they were going to fall off of me and it was very difficult to see what I would actually look like were I to purchase some of these dresses.
Postion	Tokenization
1	They
2	felt
3	like
4	they
5	were
6	going
7	to
8	fall
9	off
10	of
11	me
12	and
13	it
14	was
15	very
16	difficult
17	to
18	see
19	what
20	I
21	would
22	actually
23	look
24	like
25	were
26	I
27	to
28	purchase
29	some
30	of
31	these
32	dresses
33	.
Position	Tokenization	UPOS	Head	Deprel
1	They	PRON	2	nsubj
2	felt	VERB	0	root
3	like	SCONJ	6	mark
4	they	PRON	6	nsubj
5	were	AUX	6	aux
6	going	VERB	2	advcl
7	to	PART	8	mark
8	fall	VERB	6	xcomp
9	off	ADV	8	advmod
10	of	ADP	11	case
11	me	PRON	9	obl
12	and	CCONJ	16	cc
13	it	PRON	16	expl
14	was	AUX	16	cop
15	very	ADV	16	advmod
16	difficult	ADJ	2	conj
17	to	PART	18	mark
18	see	VERB	16	csubj
19	what	PRON	18	obj
20	I	PRON	23	nsubj
21	would	AUX	23	aux
22	actually	ADV	23	advmod
23	look	VERB	19	acl:relcl
24	like	ADP	23	obl
25	were	VERB	24	advcl
26	I	PRON	25	nsubj
27	to	PART	28	mark
28	purchase	VERB	25	xcomp
29	some	DET	28	obj
30	of	ADP	32	case
31	these	DET	32	det
32	dresses	NOUN	29	nmod
33	.	PUNCT	2	punct