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 thought it would be a good idea to see how a few that I liked would look like on a model (by looking the dress up online).
Postion	Tokenization
1	I
2	thought
3	it
4	would
5	be
6	a
7	good
8	idea
9	to
10	see
11	how
12	a
13	few
14	that
15	I
16	liked
17	would
18	look
19	like
20	on
21	a
22	model
23	(
24	by
25	looking
26	the
27	dress
28	up
29	online
30	)
31	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	thought	VERB	0	root
3	it	PRON	8	expl
4	would	AUX	8	aux
5	be	AUX	8	cop
6	a	DET	8	det
7	good	ADJ	8	amod
8	idea	NOUN	2	ccomp
9	to	PART	10	mark
10	see	VERB	8	csubj
11	how	SCONJ	18	mark
12	a	DET	13	det
13	few	ADJ	18	nsubj
14	that	PRON	16	obj
15	I	PRON	16	nsubj
16	liked	VERB	13	acl:relcl
17	would	AUX	18	aux
18	look	VERB	10	ccomp
19	like	ADP	18	obl
20	on	ADP	22	case
21	a	DET	22	det
22	model	NOUN	18	obl
23	(	PUNCT	25	punct
24	by	SCONJ	25	mark
25	looking	VERB	18	advcl
26	the	DET	27	det
27	dress	NOUN	25	obj
28	up	ADP	25	compound:prt
29	online	ADV	25	advmod
30	)	PUNCT	25	punct
31	.	PUNCT	2	punct