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:
I do not know if the American plan was actually to encircle both Iran and Syria, but that is the resulting situation.
Postion	Tokenization
1	I
2	do
3	not
4	know
5	if
6	the
7	American
8	plan
9	was
10	actually
11	to
12	encircle
13	both
14	Iran
15	and
16	Syria
17	,
18	but
19	that
20	is
21	the
22	resulting
23	situation
24	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	4	nsubj
2	do	AUX	4	aux
3	not	PART	4	advmod
4	know	VERB	0	root
5	if	SCONJ	9	mark
6	the	DET	8	det
7	American	ADJ	8	amod
8	plan	NOUN	9	nsubj
9	was	VERB	4	ccomp
10	actually	ADV	9	advmod
11	to	PART	12	mark
12	encircle	VERB	9	ccomp
13	both	CCONJ	14	cc:preconj
14	Iran	PROPN	12	obj
15	and	CCONJ	16	cc
16	Syria	PROPN	14	conj
17	,	PUNCT	23	punct
18	but	CCONJ	23	cc
19	that	PRON	23	nsubj
20	is	AUX	23	cop
21	the	DET	23	det
22	resulting	VERB	23	amod
23	situation	NOUN	4	conj
24	.	PUNCT	4	punct