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:
My family is calling for your urgent assistance in funding the removal of the President of the Republic of Iraq and acquiring the petroleum assets of his country, as compensation for the costs of removing him from power.
Postion	Tokenization
1	My
2	family
3	is
4	calling
5	for
6	your
7	urgent
8	assistance
9	in
10	funding
11	the
12	removal
13	of
14	the
15	President
16	of
17	the
18	Republic
19	of
20	Iraq
21	and
22	acquiring
23	the
24	petroleum
25	assets
26	of
27	his
28	country
29	,
30	as
31	compensation
32	for
33	the
34	costs
35	of
36	removing
37	him
38	from
39	power
40	.
Position	Tokenization	UPOS	Head	Deprel
1	My	PRON	2	nmod:poss
2	family	NOUN	4	nsubj
3	is	AUX	4	aux
4	calling	VERB	0	root
5	for	ADP	8	case
6	your	PRON	8	nmod:poss
7	urgent	ADJ	8	amod
8	assistance	NOUN	4	obl
9	in	SCONJ	10	mark
10	funding	VERB	8	acl
11	the	DET	12	det
12	removal	NOUN	10	obj
13	of	ADP	15	case
14	the	DET	15	det
15	President	PROPN	12	nmod
16	of	ADP	18	case
17	the	DET	18	det
18	Republic	PROPN	15	nmod
19	of	ADP	20	case
20	Iraq	PROPN	18	nmod
21	and	CCONJ	22	cc
22	acquiring	VERB	10	conj
23	the	DET	25	det
24	petroleum	NOUN	25	compound
25	assets	NOUN	22	obj
26	of	ADP	28	case
27	his	PRON	28	nmod:poss
28	country	NOUN	25	nmod
29	,	PUNCT	22	punct
30	as	ADP	31	case
31	compensation	NOUN	22	obl
32	for	ADP	34	case
33	the	DET	34	det
34	costs	NOUN	31	nmod
35	of	SCONJ	36	mark
36	removing	VERB	34	acl
37	him	PRON	36	obj
38	from	ADP	39	case
39	power	NOUN	36	obl
40	.	PUNCT	4	punct