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:
China has been a great help at getting North Korea to the table and Bush is hoping that with their cooperation Korea can become a nuclear free peninsula.
Postion	Tokenization
1	China
2	has
3	been
4	a
5	great
6	help
7	at
8	getting
9	North
10	Korea
11	to
12	the
13	table
14	and
15	Bush
16	is
17	hoping
18	that
19	with
20	their
21	cooperation
22	Korea
23	can
24	become
25	a
26	nuclear
27	free
28	peninsula
29	.
Position	Tokenization	UPOS	Head	Deprel
1	China	PROPN	6	nsubj
2	has	AUX	6	aux
3	been	AUX	6	cop
4	a	DET	6	det
5	great	ADJ	6	amod
6	help	NOUN	0	root
7	at	SCONJ	8	mark
8	getting	VERB	6	acl
9	North	PROPN	10	compound
10	Korea	PROPN	8	obj
11	to	ADP	13	case
12	the	DET	13	det
13	table	NOUN	8	obl
14	and	CCONJ	17	cc
15	Bush	PROPN	17	nsubj
16	is	AUX	17	aux
17	hoping	VERB	6	conj
18	that	SCONJ	24	mark
19	with	ADP	21	case
20	their	PRON	21	nmod:poss
21	cooperation	NOUN	28	nmod
22	Korea	PROPN	24	nsubj
23	can	AUX	24	aux
24	become	VERB	17	ccomp
25	a	DET	28	det
26	nuclear	ADJ	27	amod
27	free	ADJ	28	amod
28	peninsula	NOUN	24	xcomp
29	.	PUNCT	6	punct