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:
But because we don't want to sound hateful we must pretend everyone's a possible suspect and make airline travel more miserable than it's ever been.
Postion	Tokenization
1	But
2	because
3	we
4	don't
5	do
6	n't
7	want
8	to
9	sound
10	hateful
11	we
12	must
13	pretend
14	everyone's
15	everyone
16	's
17	a
18	possible
19	suspect
20	and
21	make
22	airline
23	travel
24	more
25	miserable
26	than
27	it's
28	it
29	's
30	ever
31	been
32	.
Position	Tokenization	UPOS	Head	Deprel
1	But	CCONJ	19	cc
2	because	SCONJ	6	mark
3	we	PRON	6	nsubj
4	don't	_	None	_
5	do	AUX	6	aux
6	n't	PART	6	advmod
7	want	VERB	12	advcl
8	to	PART	8	mark
9	sound	VERB	6	xcomp
10	hateful	ADJ	8	xcomp
11	we	PRON	12	nsubj
12	must	AUX	12	aux
13	pretend	VERB	0	root
14	everyone's	_	None	_
15	everyone	PRON	17	nsubj
16	's	AUX	17	cop
17	a	DET	17	det
18	possible	ADJ	17	amod
19	suspect	NOUN	12	ccomp
20	and	CCONJ	19	cc
21	make	VERB	12	conj
22	airline	NOUN	21	compound
23	travel	NOUN	19	obj
24	more	ADV	23	advmod
25	miserable	ADJ	19	xcomp
26	than	SCONJ	28	mark
27	it's	_	None	_
28	it	PRON	28	nsubj
29	's	AUX	28	aux
30	ever	ADV	28	advmod
31	been	AUX	23	advcl
32	.	PUNCT	12	punct