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:
What kind of political cover would be gained from an attack on Iran, and from the diversion of attention to that attack?
Postion	Tokenization
1	What
2	kind
3	of
4	political
5	cover
6	would
7	be
8	gained
9	from
10	an
11	attack
12	on
13	Iran
14	,
15	and
16	from
17	the
18	diversion
19	of
20	attention
21	to
22	that
23	attack
24	?
Position	Tokenization	UPOS	Head	Deprel
1	What	DET	2	det
2	kind	NOUN	8	nsubj:pass
3	of	ADP	5	case
4	political	ADJ	5	amod
5	cover	NOUN	2	nmod
6	would	AUX	8	aux
7	be	AUX	8	aux:pass
8	gained	VERB	0	root
9	from	ADP	11	case
10	an	DET	11	det
11	attack	NOUN	8	obl
12	on	ADP	13	case
13	Iran	PROPN	11	nmod
14	,	PUNCT	18	punct
15	and	CCONJ	18	cc
16	from	ADP	18	case
17	the	DET	18	det
18	diversion	NOUN	11	conj
19	of	ADP	20	case
20	attention	NOUN	18	nmod
21	to	ADP	23	case
22	that	DET	23	det
23	attack	NOUN	18	nmod
24	?	PUNCT	8	punct