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:
In a timid voice, he says: "If an airplane carrying Winston Peters was blown up by a bomb, THAT would be a tragedy".
Postion	Tokenization
1	In
2	a
3	timid
4	voice
5	,
6	he
7	says
8	:
9	"
10	If
11	an
12	airplane
13	carrying
14	Winston
15	Peters
16	was
17	blown
18	up
19	by
20	a
21	bomb
22	,
23	THAT
24	would
25	be
26	a
27	tragedy
28	"
29	.
Position	Tokenization	UPOS	Head	Deprel
1	In	ADP	4	case
2	a	DET	4	det
3	timid	ADJ	4	amod
4	voice	NOUN	7	obl
5	,	PUNCT	7	punct
6	he	PRON	7	nsubj
7	says	VERB	0	root
8	:	PUNCT	7	punct
9	"	PUNCT	27	punct
10	If	SCONJ	17	mark
11	an	DET	12	det
12	airplane	NOUN	17	nsubj:pass
13	carrying	VERB	12	acl
14	Winston	PROPN	13	obj
15	Peters	PROPN	14	flat
16	was	AUX	17	aux:pass
17	blown	VERB	27	advcl
18	up	ADP	17	compound:prt
19	by	ADP	21	case
20	a	DET	21	det
21	bomb	NOUN	17	obl
22	,	PUNCT	27	punct
23	THAT	PRON	27	nsubj
24	would	AUX	27	aux
25	be	AUX	27	cop
26	a	DET	27	det
27	tragedy	NOUN	7	ccomp
28	"	PUNCT	27	punct
29	.	PUNCT	7	punct