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:
Cities such as Falluja received special treatment from Saddam and enjoyed a disproportionate share of the country's wealth and power.
Postion	Tokenization
1	Cities
2	such
3	as
4	Falluja
5	received
6	special
7	treatment
8	from
9	Saddam
10	and
11	enjoyed
12	a
13	disproportionate
14	share
15	of
16	the
17	country's
18	country
19	's
20	wealth
21	and
22	power
23	.
Position	Tokenization	UPOS	Head	Deprel
1	Cities	NOUN	5	nsubj
2	such	ADJ	4	case
3	as	ADP	2	fixed
4	Falluja	PROPN	1	nmod
5	received	VERB	0	root
6	special	ADJ	7	amod
7	treatment	NOUN	5	obj
8	from	ADP	9	case
9	Saddam	PROPN	5	obl
10	and	CCONJ	11	cc
11	enjoyed	VERB	5	conj
12	a	DET	14	det
13	disproportionate	ADJ	14	amod
14	share	NOUN	11	obj
15	of	ADP	19	case
16	the	DET	17	det
17	country's	_	None	_
18	country	NOUN	19	nmod:poss
19	's	PART	17	case
20	wealth	NOUN	14	nmod
21	and	CCONJ	21	cc
22	power	NOUN	19	conj
23	.	PUNCT	5	punct