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:
Add to this the economic threat posed by China, and the economic threat implicit in any substantial disruption of the distribution of Mideast petroleum to the globe.
Postion	Tokenization
1	Add
2	to
3	this
4	the
5	economic
6	threat
7	posed
8	by
9	China
10	,
11	and
12	the
13	economic
14	threat
15	implicit
16	in
17	any
18	substantial
19	disruption
20	of
21	the
22	distribution
23	of
24	Mideast
25	petroleum
26	to
27	the
28	globe
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Add	VERB	0	root
2	to	ADP	3	case
3	this	PRON	1	obl
4	the	DET	6	det
5	economic	ADJ	6	amod
6	threat	NOUN	1	obj
7	posed	VERB	6	acl
8	by	ADP	9	case
9	China	PROPN	7	obl
10	,	PUNCT	14	punct
11	and	CCONJ	14	cc
12	the	DET	14	det
13	economic	ADJ	14	amod
14	threat	NOUN	6	conj
15	implicit	ADJ	14	amod
16	in	ADP	19	case
17	any	DET	19	det
18	substantial	ADJ	19	amod
19	disruption	NOUN	15	obl
20	of	ADP	22	case
21	the	DET	22	det
22	distribution	NOUN	19	nmod
23	of	ADP	25	case
24	Mideast	PROPN	25	compound
25	petroleum	NOUN	22	nmod
26	to	ADP	28	case
27	the	DET	28	det
28	globe	NOUN	19	nmod
29	.	PUNCT	1	punct