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:
If an engagement with Iran envelops our forces in Iraq, and comes to involve Syria, our economy will likely shatter under the strain of fighting so many countries simultaneously.
Postion	Tokenization
1	If
2	an
3	engagement
4	with
5	Iran
6	envelops
7	our
8	forces
9	in
10	Iraq
11	,
12	and
13	comes
14	to
15	involve
16	Syria
17	,
18	our
19	economy
20	will
21	likely
22	shatter
23	under
24	the
25	strain
26	of
27	fighting
28	so
29	many
30	countries
31	simultaneously
32	.
Position	Tokenization	UPOS	Head	Deprel
1	If	SCONJ	6	mark
2	an	DET	3	det
3	engagement	NOUN	6	nsubj
4	with	ADP	5	case
5	Iran	PROPN	3	nmod
6	envelops	VERB	22	advcl
7	our	PRON	8	nmod:poss
8	forces	NOUN	6	obj
9	in	ADP	10	case
10	Iraq	PROPN	8	nmod
11	,	PUNCT	13	punct
12	and	CCONJ	13	cc
13	comes	VERB	6	conj
14	to	PART	15	mark
15	involve	VERB	13	xcomp
16	Syria	PROPN	15	obj
17	,	PUNCT	22	punct
18	our	PRON	19	nmod:poss
19	economy	NOUN	22	nsubj
20	will	AUX	22	aux
21	likely	ADV	22	advmod
22	shatter	VERB	0	root
23	under	ADP	25	case
24	the	DET	25	det
25	strain	NOUN	22	obl
26	of	SCONJ	27	mark
27	fighting	VERB	25	acl
28	so	ADV	29	advmod
29	many	ADJ	30	amod
30	countries	NOUN	27	obj
31	simultaneously	ADV	27	advmod
32	.	PUNCT	22	punct