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:
"The hardest blow on Americans," concluded Roberts, "will fall when China does revalue its currency.
Postion	Tokenization
1	"
2	The
3	hardest
4	blow
5	on
6	Americans
7	,
8	"
9	concluded
10	Roberts
11	,
12	"
13	will
14	fall
15	when
16	China
17	does
18	revalue
19	its
20	currency
21	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	14	punct
2	The	DET	4	det
3	hardest	ADJ	4	amod
4	blow	NOUN	14	nsubj
5	on	ADP	6	case
6	Americans	PROPN	4	nmod
7	,	PUNCT	14	punct
8	"	PUNCT	14	punct
9	concluded	VERB	14	parataxis
10	Roberts	PROPN	9	nsubj
11	,	PUNCT	14	punct
12	"	PUNCT	14	punct
13	will	AUX	14	aux
14	fall	VERB	0	root
15	when	SCONJ	18	mark
16	China	PROPN	18	nsubj
17	does	AUX	18	aux
18	revalue	VERB	14	advcl
19	its	PRON	20	nmod:poss
20	currency	NOUN	18	obj
21	.	PUNCT	14	punct