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:
The MoI in Iraq is equivalent to the US FBI, so this would be like having J. Edgar Hoover unwittingly employ at a high level members of the Weathermen bombers back in the 1960s.
Postion	Tokenization
1	The
2	MoI
3	in
4	Iraq
5	is
6	equivalent
7	to
8	the
9	US
10	FBI
11	,
12	so
13	this
14	would
15	be
16	like
17	having
18	J.
19	Edgar
20	Hoover
21	unwittingly
22	employ
23	at
24	a
25	high
26	level
27	members
28	of
29	the
30	Weathermen
31	bombers
32	back
33	in
34	the
35	1960s
36	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	2	det
2	MoI	PROPN	6	nsubj
3	in	ADP	4	case
4	Iraq	PROPN	2	nmod
5	is	AUX	6	cop
6	equivalent	ADJ	0	root
7	to	ADP	10	case
8	the	DET	10	det
9	US	PROPN	10	compound
10	FBI	PROPN	6	obl
11	,	PUNCT	6	punct
12	so	ADV	17	advmod
13	this	PRON	15	nsubj
14	would	AUX	15	aux
15	be	VERB	6	parataxis
16	like	SCONJ	17	mark
17	having	VERB	15	advcl
18	J.	PROPN	22	nsubj
19	Edgar	PROPN	18	flat
20	Hoover	PROPN	18	flat
21	unwittingly	ADV	22	advmod
22	employ	VERB	17	ccomp
23	at	ADP	26	case
24	a	DET	26	det
25	high	ADJ	26	amod
26	level	NOUN	22	obl
27	members	NOUN	22	obj
28	of	ADP	31	case
29	the	DET	31	det
30	Weathermen	PROPN	31	compound
31	bombers	NOUN	27	nmod
32	back	ADV	35	advmod
33	in	ADP	35	case
34	the	DET	35	det
35	1960s	NOUN	22	obl
36	.	PUNCT	6	punct