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 can only imagine that this is what Hiroshima looked like 60 years ago," said Mississippi Governor Haley Barbour after viewing the destruction from the air.
Postion	Tokenization
1	"
2	I
3	can
4	only
5	imagine
6	that
7	this
8	is
9	what
10	Hiroshima
11	looked
12	like
13	60
14	years
15	ago
16	,
17	"
18	said
19	Mississippi
20	Governor
21	Haley
22	Barbour
23	after
24	viewing
25	the
26	destruction
27	from
28	the
29	air
30	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	18	punct
2	I	PRON	5	nsubj
3	can	AUX	5	aux
4	only	ADV	5	advmod
5	imagine	VERB	18	ccomp
6	that	SCONJ	9	mark
7	this	PRON	9	nsubj
8	is	AUX	9	cop
9	what	PRON	5	ccomp
10	Hiroshima	PROPN	11	nsubj
11	looked	VERB	9	acl:relcl
12	like	ADP	11	obl
13	60	NUM	14	nummod
14	years	NOUN	15	obl:npmod
15	ago	ADV	11	advmod
16	,	PUNCT	18	punct
17	"	PUNCT	18	punct
18	said	VERB	0	root
19	Mississippi	PROPN	20	compound
20	Governor	PROPN	21	compound
21	Haley	PROPN	18	nsubj
22	Barbour	PROPN	21	flat
23	after	SCONJ	24	mark
24	viewing	VERB	18	advcl
25	the	DET	26	det
26	destruction	NOUN	24	obj
27	from	ADP	29	case
28	the	DET	29	det
29	air	NOUN	24	obl
30	.	PUNCT	18	punct