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:
Indeed, Sistani's agents all over the country have been quite active in educating Iraqi Shia on the merits of elections, which has led to the assassination of at least two of them.
Postion	Tokenization
1	Indeed
2	,
3	Sistani's
4	Sistani
5	's
6	agents
7	all
8	over
9	the
10	country
11	have
12	been
13	quite
14	active
15	in
16	educating
17	Iraqi
18	Shia
19	on
20	the
21	merits
22	of
23	elections
24	,
25	which
26	has
27	led
28	to
29	the
30	assassination
31	of
32	at
33	least
34	two
35	of
36	them
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Indeed	ADV	13	advmod
2	,	PUNCT	13	punct
3	Sistani's	_	None	_
4	Sistani	PROPN	5	nmod:poss
5	's	PART	3	case
6	agents	NOUN	13	nsubj
7	all	ADV	9	advmod
8	over	ADP	9	case
9	the	DET	9	det
10	country	NOUN	5	nmod
11	have	AUX	13	aux
12	been	AUX	13	cop
13	quite	ADV	13	advmod
14	active	ADJ	0	root
15	in	SCONJ	15	mark
16	educating	VERB	13	advcl
17	Iraqi	ADJ	17	amod
18	Shia	PROPN	15	obj
19	on	ADP	20	case
20	the	DET	20	det
21	merits	NOUN	15	obl
22	of	ADP	22	case
23	elections	NOUN	20	nmod
24	,	PUNCT	13	punct
25	which	PRON	26	nsubj
26	has	AUX	26	aux
27	led	VERB	13	ccomp
28	to	ADP	29	case
29	the	DET	29	det
30	assassination	NOUN	26	obl
31	of	ADP	33	case
32	at	ADV	32	case
33	least	ADV	33	nmod
34	two	NUM	29	nmod
35	of	ADP	35	case
36	them	PRON	33	nmod
37	.	PUNCT	13	punct