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:
Iranian officials are deeply concerned about the US occupation of Shindand, a massive Soviet-era airbase just 30 kilometres from Iran’s border.
Postion	Tokenization
1	Iranian
2	officials
3	are
4	deeply
5	concerned
6	about
7	the
8	US
9	occupation
10	of
11	Shindand
12	,
13	a
14	massive
15	Soviet
16	-
17	era
18	airbase
19	just
20	30
21	kilometres
22	from
23	Iran’s
24	Iran
25	’s
26	border
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Iranian	ADJ	2	amod
2	officials	NOUN	5	nsubj
3	are	AUX	5	cop
4	deeply	ADV	5	advmod
5	concerned	ADJ	0	root
6	about	ADP	9	case
7	the	DET	9	det
8	US	PROPN	9	compound
9	occupation	NOUN	5	obl
10	of	ADP	11	case
11	Shindand	PROPN	9	nmod
12	,	PUNCT	11	punct
13	a	DET	18	det
14	massive	ADJ	18	amod
15	Soviet	PROPN	17	compound
16	-	PUNCT	17	punct
17	era	NOUN	18	compound
18	airbase	NOUN	11	appos
19	just	ADV	20	advmod
20	30	NUM	21	nummod
21	kilometres	NOUN	25	nmod:npmod
22	from	ADP	25	case
23	Iran’s	_	None	_
24	Iran	PROPN	25	nmod:poss
25	’s	PART	23	case
26	border	NOUN	18	nmod
27	.	PUNCT	5	punct