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:
When China's currency ceases to be undervalued, American shoppers in Wal-Mart, where 70 percent of the goods on the shelves are made in China, will think they are in Neiman Marcus.
Postion	Tokenization
1	When
2	China's
3	China
4	's
5	currency
6	ceases
7	to
8	be
9	undervalued
10	,
11	American
12	shoppers
13	in
14	Wal
15	-
16	Mart
17	,
18	where
19	70
20	percent
21	of
22	the
23	goods
24	on
25	the
26	shelves
27	are
28	made
29	in
30	China
31	,
32	will
33	think
34	they
35	are
36	in
37	Neiman
38	Marcus
39	.
Position	Tokenization	UPOS	Head	Deprel
1	When	SCONJ	5	mark
2	China's	_	None	_
3	China	PROPN	4	nmod:poss
4	's	PART	2	case
5	currency	NOUN	5	nsubj
6	ceases	VERB	32	advcl
7	to	PART	8	mark
8	be	AUX	8	aux:pass
9	undervalued	VERB	5	xcomp
10	,	PUNCT	32	punct
11	American	ADJ	11	amod
12	shoppers	NOUN	32	nsubj
13	in	ADP	15	case
14	Wal	PROPN	15	compound
15	-	PUNCT	15	punct
16	Mart	PROPN	11	nmod
17	,	PUNCT	15	punct
18	where	SCONJ	27	mark
19	70	NUM	19	nummod
20	percent	NOUN	27	nsubj:pass
21	of	ADP	22	case
22	the	DET	22	det
23	goods	NOUN	19	nmod
24	on	ADP	25	case
25	the	DET	25	det
26	shelves	NOUN	22	nmod
27	are	AUX	27	aux:pass
28	made	VERB	15	acl:relcl
29	in	ADP	29	case
30	China	PROPN	27	obl
31	,	PUNCT	32	punct
32	will	AUX	32	aux
33	think	VERB	0	root
34	they	PRON	37	nsubj
35	are	AUX	37	cop
36	in	ADP	37	case
37	Neiman	PROPN	37	compound
38	Marcus	PROPN	32	ccomp
39	.	PUNCT	32	punct