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:
However since the elections Iranian influence has proved critical in convincing the Hazara Shia candidate Mohammed Mohaqeq to accept the results of the elections and later convincing Qanooni to do the same.
Postion	Tokenization
1	However
2	since
3	the
4	elections
5	Iranian
6	influence
7	has
8	proved
9	critical
10	in
11	convincing
12	the
13	Hazara
14	Shia
15	candidate
16	Mohammed
17	Mohaqeq
18	to
19	accept
20	the
21	results
22	of
23	the
24	elections
25	and
26	later
27	convincing
28	Qanooni
29	to
30	do
31	the
32	same
33	.
Position	Tokenization	UPOS	Head	Deprel
1	However	ADV	8	advmod
2	since	ADP	4	case
3	the	DET	4	det
4	elections	NOUN	8	obl
5	Iranian	ADJ	6	amod
6	influence	NOUN	8	nsubj
7	has	AUX	8	aux
8	proved	VERB	0	root
9	critical	ADJ	8	xcomp
10	in	SCONJ	11	mark
11	convincing	VERB	9	advcl
12	the	DET	15	det
13	Hazara	PROPN	14	compound
14	Shia	PROPN	15	compound
15	candidate	NOUN	11	obj
16	Mohammed	PROPN	15	appos
17	Mohaqeq	PROPN	16	flat
18	to	PART	19	mark
19	accept	VERB	11	xcomp
20	the	DET	21	det
21	results	NOUN	19	obj
22	of	ADP	24	case
23	the	DET	24	det
24	elections	NOUN	21	nmod
25	and	CCONJ	27	cc
26	later	ADV	27	advmod
27	convincing	VERB	11	conj
28	Qanooni	PROPN	27	obj
29	to	PART	30	mark
30	do	VERB	27	xcomp
31	the	DET	32	det
32	same	ADJ	30	obj
33	.	PUNCT	8	punct