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 was only able to give a partial response to the query on the leader of Taiwan, referring to Taiwanese President Lee Teng-hui simply as "Lee."
Postion	Tokenization
1	Bush
2	was
3	only
4	able
5	to
6	give
7	a
8	partial
9	response
10	to
11	the
12	query
13	on
14	the
15	leader
16	of
17	Taiwan
18	,
19	referring
20	to
21	Taiwanese
22	President
23	Lee
24	Teng
25	-
26	hui
27	simply
28	as
29	"
30	Lee
31	.
32	"
Position	Tokenization	UPOS	Head	Deprel
1	Bush	PROPN	4	nsubj
2	was	AUX	4	cop
3	only	ADV	4	advmod
4	able	ADJ	0	root
5	to	PART	6	mark
6	give	VERB	4	xcomp
7	a	DET	9	det
8	partial	ADJ	9	amod
9	response	NOUN	6	obj
10	to	ADP	12	case
11	the	DET	12	det
12	query	NOUN	9	nmod
13	on	ADP	15	case
14	the	DET	15	det
15	leader	NOUN	12	nmod
16	of	ADP	17	case
17	Taiwan	PROPN	15	nmod
18	,	PUNCT	6	punct
19	referring	VERB	6	advcl
20	to	ADP	22	case
21	Taiwanese	ADJ	22	amod
22	President	PROPN	19	obl
23	Lee	PROPN	22	flat
24	Teng	PROPN	22	flat
25	-	PUNCT	22	punct
26	hui	PROPN	22	flat
27	simply	ADV	30	advmod
28	as	ADP	30	case
29	"	PUNCT	30	punct
30	Lee	PROPN	19	obl
31	.	PUNCT	4	punct
32	"	PUNCT	4	punct