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:
He described Allawi's face as that of a f*ed horse and he dismissed the whole government as a band of thieves and traitors.
Postion	Tokenization
1	He
2	described
3	Allawi's
4	Allawi
5	's
6	face
7	as
8	that
9	of
10	a
11	f*ed
12	horse
13	and
14	he
15	dismissed
16	the
17	whole
18	government
19	as
20	a
21	band
22	of
23	thieves
24	and
25	traitors
26	.
Position	Tokenization	UPOS	Head	Deprel
1	He	PRON	2	nsubj
2	described	VERB	0	root
3	Allawi's	_	None	_
4	Allawi	PROPN	5	nmod:poss
5	's	PART	3	case
6	face	NOUN	2	obj
7	as	ADP	7	case
8	that	PRON	2	obl
9	of	ADP	11	case
10	a	DET	11	det
11	f*ed	VERB	11	amod
12	horse	NOUN	7	nmod
13	and	CCONJ	14	cc
14	he	PRON	14	nsubj
15	dismissed	VERB	2	conj
16	the	DET	17	det
17	whole	ADJ	17	amod
18	government	NOUN	14	obj
19	as	ADP	20	case
20	a	DET	20	det
21	band	NOUN	14	obl
22	of	ADP	22	case
23	thieves	NOUN	20	nmod
24	and	CCONJ	24	cc
25	traitors	NOUN	22	conj
26	.	PUNCT	2	punct