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:
Mr. Sahaf eventually became a popular icon as a court jester, but this did not stop some allegedly respectable newspapers from giving him equal time.
Postion	Tokenization
1	Mr.
2	Sahaf
3	eventually
4	became
5	a
6	popular
7	icon
8	as
9	a
10	court
11	jester
12	,
13	but
14	this
15	did
16	not
17	stop
18	some
19	allegedly
20	respectable
21	newspapers
22	from
23	giving
24	him
25	equal
26	time
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Mr.	PROPN	4	nsubj
2	Sahaf	PROPN	1	flat
3	eventually	ADV	4	advmod
4	became	VERB	0	root
5	a	DET	7	det
6	popular	ADJ	7	amod
7	icon	NOUN	4	xcomp
8	as	ADP	11	case
9	a	DET	11	det
10	court	NOUN	11	compound
11	jester	NOUN	7	nmod
12	,	PUNCT	17	punct
13	but	CCONJ	17	cc
14	this	PRON	17	nsubj
15	did	AUX	17	aux
16	not	PART	17	advmod
17	stop	VERB	7	conj
18	some	DET	21	det
19	allegedly	ADV	20	advmod
20	respectable	ADJ	21	amod
21	newspapers	NOUN	17	obj
22	from	SCONJ	23	mark
23	giving	VERB	17	advcl
24	him	PRON	23	iobj
25	equal	ADJ	26	amod
26	time	NOUN	23	obj
27	.	PUNCT	7	punct