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:
Yet all you read about at the time was the arrest of the son Ahmed Abdul Qadoos, who receives a stipend from the UN for being officially low-IQ due to lead poisoning.
Postion	Tokenization
1	Yet
2	all
3	you
4	read
5	about
6	at
7	the
8	time
9	was
10	the
11	arrest
12	of
13	the
14	son
15	Ahmed
16	Abdul
17	Qadoos
18	,
19	who
20	receives
21	a
22	stipend
23	from
24	the
25	UN
26	for
27	being
28	officially
29	low
30	-
31	IQ
32	due
33	to
34	lead
35	poisoning
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Yet	CCONJ	11	cc
2	all	DET	11	nsubj
3	you	PRON	4	nsubj
4	read	VERB	2	acl:relcl
5	about	ADP	4	obl
6	at	ADP	8	case
7	the	DET	8	det
8	time	NOUN	4	obl
9	was	AUX	11	cop
10	the	DET	11	det
11	arrest	NOUN	0	root
12	of	ADP	14	case
13	the	DET	14	det
14	son	NOUN	11	nmod
15	Ahmed	PROPN	14	appos
16	Abdul	PROPN	15	flat
17	Qadoos	PROPN	15	flat
18	,	PUNCT	14	punct
19	who	PRON	20	nsubj
20	receives	VERB	14	acl:relcl
21	a	DET	22	det
22	stipend	NOUN	20	obj
23	from	ADP	25	case
24	the	DET	25	det
25	UN	PROPN	20	obl
26	for	SCONJ	31	mark
27	being	AUX	31	cop
28	officially	ADV	31	advmod
29	low	ADJ	31	amod
30	-	PUNCT	31	punct
31	IQ	NOUN	20	advcl
32	due	ADP	35	case
33	to	ADP	32	fixed
34	lead	NOUN	35	compound
35	poisoning	NOUN	31	obl
36	.	PUNCT	11	punct