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:
Should China decide to retaliate against the US to defend its oil and natural gas deal with Iran, the US would be faced with a significant threat.
Postion	Tokenization
1	Should
2	China
3	decide
4	to
5	retaliate
6	against
7	the
8	US
9	to
10	defend
11	its
12	oil
13	and
14	natural
15	gas
16	deal
17	with
18	Iran
19	,
20	the
21	US
22	would
23	be
24	faced
25	with
26	a
27	significant
28	threat
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Should	AUX	3	aux
2	China	PROPN	3	nsubj
3	decide	VERB	24	advcl
4	to	PART	5	mark
5	retaliate	VERB	3	xcomp
6	against	ADP	8	case
7	the	DET	8	det
8	US	PROPN	5	obl
9	to	PART	10	mark
10	defend	VERB	5	advcl
11	its	PRON	16	nmod:poss
12	oil	NOUN	16	compound
13	and	CCONJ	15	cc
14	natural	ADJ	15	amod
15	gas	NOUN	12	conj
16	deal	NOUN	10	obj
17	with	ADP	18	case
18	Iran	PROPN	16	nmod
19	,	PUNCT	24	punct
20	the	DET	21	det
21	US	PROPN	24	nsubj:pass
22	would	AUX	24	aux
23	be	AUX	24	aux:pass
24	faced	VERB	0	root
25	with	ADP	28	case
26	a	DET	28	det
27	significant	ADJ	28	amod
28	threat	NOUN	24	obl
29	.	PUNCT	24	punct