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 remark made by Sha'lan on Al-Arabiya TV, that he couldn't say more about Chalabi because he would embarrass himself and the viewers almost made me roll on the floor.
Postion	Tokenization
1	One
2	remark
3	made
4	by
5	Sha'lan
6	on
7	Al
8	-
9	Arabiya
10	TV
11	,
12	that
13	he
14	couldn't
15	could
16	n't
17	say
18	more
19	about
20	Chalabi
21	because
22	he
23	would
24	embarrass
25	himself
26	and
27	the
28	viewers
29	almost
30	made
31	me
32	roll
33	on
34	the
35	floor
36	.
Position	Tokenization	UPOS	Head	Deprel
1	One	NUM	2	nummod
2	remark	NOUN	29	nsubj
3	made	VERB	2	acl
4	by	ADP	5	case
5	Sha'lan	PROPN	3	obl
6	on	ADP	10	case
7	Al	PROPN	9	compound
8	-	PUNCT	9	punct
9	Arabiya	PROPN	10	compound
10	TV	PROPN	3	obl
11	,	PUNCT	2	punct
12	that	SCONJ	16	mark
13	he	PRON	16	nsubj
14	couldn't	_	None	_
15	could	AUX	16	aux
16	n't	PART	16	advmod
17	say	VERB	2	appos
18	more	ADJ	16	obj
19	about	ADP	19	case
20	Chalabi	PROPN	17	obl
21	because	SCONJ	23	mark
22	he	PRON	23	nsubj
23	would	AUX	23	aux
24	embarrass	VERB	16	advcl
25	himself	PRON	23	obj
26	and	CCONJ	27	cc
27	the	DET	27	det
28	viewers	NOUN	24	conj
29	almost	ADV	29	advmod
30	made	VERB	0	root
31	me	PRON	31	nsubj
32	roll	VERB	29	ccomp
33	on	ADP	34	case
34	the	DET	34	det
35	floor	NOUN	31	obl
36	.	PUNCT	29	punct