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:
For the United States and Europe are far more concerned with the even more sensitive issues of China's relations with "pariah states".
Postion	Tokenization
1	For
2	the
3	United
4	States
5	and
6	Europe
7	are
8	far
9	more
10	concerned
11	with
12	the
13	even
14	more
15	sensitive
16	issues
17	of
18	China's
19	China
20	's
21	relations
22	with
23	"
24	pariah
25	states
26	"
27	.
Position	Tokenization	UPOS	Head	Deprel
1	For	CCONJ	10	cc
2	the	DET	4	det
3	United	PROPN	4	compound
4	States	PROPN	10	nsubj
5	and	CCONJ	6	cc
6	Europe	PROPN	4	conj
7	are	AUX	10	cop
8	far	ADV	9	advmod
9	more	ADV	10	advmod
10	concerned	ADJ	0	root
11	with	ADP	16	case
12	the	DET	16	det
13	even	ADV	14	advmod
14	more	ADV	15	advmod
15	sensitive	ADJ	16	amod
16	issues	NOUN	10	obl
17	of	ADP	20	case
18	China's	_	None	_
19	China	PROPN	20	nmod:poss
20	's	PART	18	case
21	relations	NOUN	16	nmod
22	with	ADP	24	case
23	"	PUNCT	24	punct
24	pariah	NOUN	24	compound
25	states	NOUN	20	nmod
26	"	PUNCT	24	punct
27	.	PUNCT	10	punct