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 feel like they didn't tell me the pitfalls before I pulled out this tile and now that I have no other options they want 5 TIMES the price?
Postion	Tokenization
1	I
2	feel
3	like
4	they
5	didn't
6	did
7	n't
8	tell
9	me
10	the
11	pitfalls
12	before
13	I
14	pulled
15	out
16	this
17	tile
18	and
19	now
20	that
21	I
22	have
23	no
24	other
25	options
26	they
27	want
28	5
29	TIMES
30	the
31	price
32	?
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	feel	VERB	0	root
3	like	SCONJ	7	mark
4	they	PRON	7	nsubj
5	didn't	_	None	_
6	did	AUX	7	aux
7	n't	PART	7	advmod
8	tell	VERB	2	advcl
9	me	PRON	7	iobj
10	the	DET	10	det
11	pitfalls	NOUN	7	obj
12	before	SCONJ	13	mark
13	I	PRON	13	nsubj
14	pulled	VERB	7	advcl
15	out	ADV	13	advmod
16	this	DET	16	det
17	tile	NOUN	13	obj
18	and	CCONJ	26	cc
19	now	ADV	26	advmod
20	that	SCONJ	21	mark
21	I	PRON	21	nsubj
22	have	VERB	18	ccomp
23	no	DET	24	det
24	other	ADJ	24	amod
25	options	NOUN	21	obj
26	they	PRON	26	nsubj
27	want	VERB	2	conj
28	5	NUM	28	compound
29	TIMES	NOUN	30	nummod
30	the	DET	30	det
31	price	NOUN	26	obj
32	?	PUNCT	2	punct