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 Iran's missile armaments that pose the greatest concern for American forces in the Gulf, especially for the US Navy.
Postion	Tokenization
1	It
2	is
3	Iran's
4	Iran
5	's
6	missile
7	armaments
8	that
9	pose
10	the
11	greatest
12	concern
13	for
14	American
15	forces
16	in
17	the
18	Gulf
19	,
20	especially
21	for
22	the
23	US
24	Navy
25	.
Position	Tokenization	UPOS	Head	Deprel
1	It	PRON	6	nsubj
2	is	AUX	6	cop
3	Iran's	_	None	_
4	Iran	PROPN	6	nmod:poss
5	's	PART	3	case
6	missile	NOUN	6	compound
7	armaments	NOUN	0	root
8	that	PRON	8	nsubj
9	pose	VERB	6	acl:relcl
10	the	DET	11	det
11	greatest	ADJ	11	amod
12	concern	NOUN	8	obj
13	for	ADP	14	case
14	American	ADJ	14	amod
15	forces	NOUN	11	nmod
16	in	ADP	17	case
17	the	DET	17	det
18	Gulf	NOUN	14	nmod
19	,	PUNCT	14	punct
20	especially	ADV	23	advmod
21	for	ADP	23	case
22	the	DET	23	det
23	US	PROPN	23	compound
24	Navy	PROPN	14	nmod
25	.	PUNCT	6	punct