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:
One minister reportedly handed out 100 dollar 'gifts' to journalists attending a press conference for Allawi, a practice that brings back bad memories to many Iraqis.
Postion	Tokenization
1	One
2	minister
3	reportedly
4	handed
5	out
6	100
7	dollar
8	'
9	gifts
10	'
11	to
12	journalists
13	attending
14	a
15	press
16	conference
17	for
18	Allawi
19	,
20	a
21	practice
22	that
23	brings
24	back
25	bad
26	memories
27	to
28	many
29	Iraqis
30	.
Position	Tokenization	UPOS	Head	Deprel
1	One	NUM	2	nummod
2	minister	NOUN	4	nsubj
3	reportedly	ADV	4	advmod
4	handed	VERB	0	root
5	out	ADP	4	compound:prt
6	100	NUM	7	nummod
7	dollar	NOUN	9	compound
8	'	PUNCT	9	punct
9	gifts	NOUN	4	obj
10	'	PUNCT	9	punct
11	to	ADP	12	case
12	journalists	NOUN	4	obl
13	attending	VERB	12	acl
14	a	DET	16	det
15	press	NOUN	16	compound
16	conference	NOUN	13	obj
17	for	ADP	18	case
18	Allawi	PROPN	16	nmod
19	,	PUNCT	4	punct
20	a	DET	21	det
21	practice	NOUN	4	obl:npmod
22	that	PRON	23	nsubj
23	brings	VERB	21	acl:relcl
24	back	ADV	23	advmod
25	bad	ADJ	26	amod
26	memories	NOUN	23	obj
27	to	ADP	29	case
28	many	ADJ	29	amod
29	Iraqis	PROPN	23	obl
30	.	PUNCT	4	punct