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:
Bush, in answering the question about the leader of Pakistan, also said: "The new Pakistani general, he's just been elected -- not elected, this guy took over office.
Postion	Tokenization
1	Bush
2	,
3	in
4	answering
5	the
6	question
7	about
8	the
9	leader
10	of
11	Pakistan
12	,
13	also
14	said
15	:
16	"
17	The
18	new
19	Pakistani
20	general
21	,
22	he's
23	he
24	's
25	just
26	been
27	elected
28	--
29	not
30	elected
31	,
32	this
33	guy
34	took
35	over
36	office
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Bush	PROPN	14	nsubj
2	,	PUNCT	14	punct
3	in	SCONJ	4	mark
4	answering	VERB	14	advcl
5	the	DET	6	det
6	question	NOUN	4	obj
7	about	ADP	9	case
8	the	DET	9	det
9	leader	NOUN	6	nmod
10	of	ADP	11	case
11	Pakistan	PROPN	9	nmod
12	,	PUNCT	14	punct
13	also	ADV	14	advmod
14	said	VERB	0	root
15	:	PUNCT	14	punct
16	"	PUNCT	14	punct
17	The	DET	20	det
18	new	ADJ	20	amod
19	Pakistani	ADJ	20	amod
20	general	NOUN	32	dislocated
21	,	PUNCT	20	punct
22	he's	_	None	_
23	he	PRON	26	nsubj:pass
24	's	AUX	26	aux:pass
25	just	ADV	26	advmod
26	been	AUX	26	aux:pass
27	elected	VERB	33	reparandum
28	--	PUNCT	33	punct
29	not	ADV	29	advmod
30	elected	VERB	33	advcl
31	,	PUNCT	33	punct
32	this	DET	32	det
33	guy	NOUN	33	nsubj
34	took	VERB	14	ccomp
35	over	ADP	33	compound:prt
36	office	NOUN	33	obj
37	.	PUNCT	14	punct