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:
"If China's economy falters, which, in my view, appears increasingly likely, then commodity prices will plummet, and with them, the value of the assets that produce them," Jason Kindopp, Eurasia's lead China analyst, said.
Postion	Tokenization
1	"
2	If
3	China's
4	China
5	's
6	economy
7	falters
8	,
9	which
10	,
11	in
12	my
13	view
14	,
15	appears
16	increasingly
17	likely
18	,
19	then
20	commodity
21	prices
22	will
23	plummet
24	,
25	and
26	with
27	them
28	,
29	the
30	value
31	of
32	the
33	assets
34	that
35	produce
36	them
37	,
38	"
39	Jason
40	Kindopp
41	,
42	Eurasia's
43	Eurasia
44	's
45	lead
46	China
47	analyst
48	,
49	said
50	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	47	punct
2	If	SCONJ	6	mark
3	China's	_	None	_
4	China	PROPN	5	nmod:poss
5	's	PART	3	case
6	economy	NOUN	6	nsubj
7	falters	VERB	22	advcl
8	,	PUNCT	6	punct
9	which	PRON	14	nsubj
10	,	PUNCT	14	punct
11	in	ADP	12	case
12	my	PRON	12	nmod:poss
13	view	NOUN	14	obl
14	,	PUNCT	14	punct
15	appears	VERB	6	parataxis
16	increasingly	ADV	16	advmod
17	likely	ADJ	14	xcomp
18	,	PUNCT	22	punct
19	then	ADV	22	advmod
20	commodity	NOUN	20	compound
21	prices	NOUN	22	nsubj
22	will	AUX	22	aux
23	plummet	VERB	47	ccomp
24	,	PUNCT	29	punct
25	and	CCONJ	29	cc
26	with	ADP	26	case
27	them	PRON	29	nmod
28	,	PUNCT	29	punct
29	the	DET	29	det
30	value	NOUN	22	conj
31	of	ADP	32	case
32	the	DET	32	det
33	assets	NOUN	29	nmod
34	that	PRON	34	nsubj
35	produce	VERB	32	acl:relcl
36	them	PRON	34	obj
37	,	PUNCT	47	punct
38	"	PUNCT	47	punct
39	Jason	PROPN	47	nsubj
40	Kindopp	PROPN	38	flat
41	,	PUNCT	38	punct
42	Eurasia's	_	None	_
43	Eurasia	PROPN	45	nmod:poss
44	's	PART	41	case
45	lead	ADJ	45	amod
46	China	PROPN	45	compound
47	analyst	NOUN	38	appos
48	,	PUNCT	47	punct
49	said	VERB	0	root
50	.	PUNCT	47	punct