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:
It is difficult to imagine a justification for any action that could envelop the United States in a military and economic conflict with Iraq, Iran, Syria and China simultaneously.
Postion	Tokenization
1	It
2	is
3	difficult
4	to
5	imagine
6	a
7	justification
8	for
9	any
10	action
11	that
12	could
13	envelop
14	the
15	United
16	States
17	in
18	a
19	military
20	and
21	economic
22	conflict
23	with
24	Iraq
25	,
26	Iran
27	,
28	Syria
29	and
30	China
31	simultaneously
32	.
Position	Tokenization	UPOS	Head	Deprel
1	It	PRON	3	expl
2	is	AUX	3	cop
3	difficult	ADJ	0	root
4	to	PART	5	mark
5	imagine	VERB	3	csubj
6	a	DET	7	det
7	justification	NOUN	5	obj
8	for	ADP	10	case
9	any	DET	10	det
10	action	NOUN	7	nmod
11	that	PRON	13	nsubj
12	could	AUX	13	aux
13	envelop	VERB	10	acl:relcl
14	the	DET	16	det
15	United	PROPN	16	compound
16	States	PROPN	13	obj
17	in	ADP	22	case
18	a	DET	22	det
19	military	ADJ	22	amod
20	and	CCONJ	21	cc
21	economic	ADJ	19	conj
22	conflict	NOUN	13	obl
23	with	ADP	24	case
24	Iraq	PROPN	22	nmod
25	,	PUNCT	26	punct
26	Iran	PROPN	24	conj
27	,	PUNCT	28	punct
28	Syria	PROPN	24	conj
29	and	CCONJ	30	cc
30	China	PROPN	24	conj
31	simultaneously	ADV	24	advmod
32	.	PUNCT	3	punct