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:
Washington would really have to anger Japan and Korea to provoke such action, but in a showdown with China - over Taiwan, for example - China holds the cards.
Postion	Tokenization
1	Washington
2	would
3	really
4	have
5	to
6	anger
7	Japan
8	and
9	Korea
10	to
11	provoke
12	such
13	action
14	,
15	but
16	in
17	a
18	showdown
19	with
20	China
21	-
22	over
23	Taiwan
24	,
25	for
26	example
27	-
28	China
29	holds
30	the
31	cards
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Washington	PROPN	4	nsubj
2	would	AUX	4	aux
3	really	ADV	4	advmod
4	have	VERB	0	root
5	to	PART	6	mark
6	anger	VERB	4	xcomp
7	Japan	PROPN	6	obj
8	and	CCONJ	9	cc
9	Korea	PROPN	7	conj
10	to	PART	11	mark
11	provoke	VERB	6	advcl
12	such	ADJ	13	amod
13	action	NOUN	11	obj
14	,	PUNCT	29	punct
15	but	CCONJ	29	cc
16	in	ADP	18	case
17	a	DET	18	det
18	showdown	NOUN	29	obl
19	with	ADP	20	case
20	China	PROPN	18	nmod
21	-	PUNCT	18	punct
22	over	ADP	23	case
23	Taiwan	PROPN	18	nmod
24	,	PUNCT	18	punct
25	for	ADP	26	case
26	example	NOUN	18	nmod
27	-	PUNCT	29	punct
28	China	PROPN	29	nsubj
29	holds	VERB	4	conj
30	the	DET	31	det
31	cards	NOUN	29	obj
32	.	PUNCT	4	punct