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:
Iran's coast facing the Persian Gulf is a looming wall of mountains that look down upon any naval forces arrayed in those waters.
Postion	Tokenization
1	Iran's
2	Iran
3	's
4	coast
5	facing
6	the
7	Persian
8	Gulf
9	is
10	a
11	looming
12	wall
13	of
14	mountains
15	that
16	look
17	down
18	upon
19	any
20	naval
21	forces
22	arrayed
23	in
24	those
25	waters
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Iran's	_	None	_
2	Iran	PROPN	3	nmod:poss
3	's	PART	1	case
4	coast	NOUN	11	nsubj
5	facing	VERB	3	acl
6	the	DET	7	det
7	Persian	PROPN	7	compound
8	Gulf	PROPN	4	obj
9	is	AUX	11	cop
10	a	DET	11	det
11	looming	VERB	11	amod
12	wall	NOUN	0	root
13	of	ADP	13	case
14	mountains	NOUN	11	nmod
15	that	PRON	15	nsubj
16	look	VERB	13	acl:relcl
17	down	ADV	15	advmod
18	upon	ADP	20	case
19	any	DET	20	det
20	naval	ADJ	20	amod
21	forces	NOUN	15	obl
22	arrayed	VERB	20	acl
23	in	ADP	24	case
24	those	DET	24	det
25	waters	NOUN	21	obl
26	.	PUNCT	11	punct