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:
Karl Rove, Bush's most senior advisor, notoriously told Republicans on the ballot during the 2002 midterms to "run on the war."
Postion	Tokenization
1	Karl
2	Rove
3	,
4	Bush's
5	Bush
6	's
7	most
8	senior
9	advisor
10	,
11	notoriously
12	told
13	Republicans
14	on
15	the
16	ballot
17	during
18	the
19	2002
20	midterms
21	to
22	"
23	run
24	on
25	the
26	war
27	.
28	"
Position	Tokenization	UPOS	Head	Deprel
1	Karl	PROPN	11	nsubj
2	Rove	PROPN	1	flat
3	,	PUNCT	1	punct
4	Bush's	_	None	_
5	Bush	PROPN	8	nmod:poss
6	's	PART	4	case
7	most	ADV	7	advmod
8	senior	ADJ	8	amod
9	advisor	NOUN	1	appos
10	,	PUNCT	11	punct
11	notoriously	ADV	11	advmod
12	told	VERB	0	root
13	Republicans	PROPN	11	obj
14	on	ADP	15	case
15	the	DET	15	det
16	ballot	NOUN	12	nmod
17	during	ADP	19	case
18	the	DET	19	det
19	2002	NUM	19	nummod
20	midterms	NOUN	12	nmod
21	to	PART	22	mark
22	"	PUNCT	22	punct
23	run	VERB	11	xcomp
24	on	ADP	25	case
25	the	DET	25	det
26	war	NOUN	22	obl
27	.	PUNCT	11	punct
28	"	PUNCT	11	punct