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:
Another senior Al Qaeda member (a shura or policy-making council member no less) was working for the Egyptian intelligence services and he confirmed the report in a sworn lengthy confession.
Postion	Tokenization
1	Another
2	senior
3	Al
4	Qaeda
5	member
6	(
7	a
8	shura
9	or
10	policy
11	-
12	making
13	council
14	member
15	no
16	less
17	)
18	was
19	working
20	for
21	the
22	Egyptian
23	intelligence
24	services
25	and
26	he
27	confirmed
28	the
29	report
30	in
31	a
32	sworn
33	lengthy
34	confession
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Another	DET	5	det
2	senior	ADJ	5	amod
3	Al	PROPN	4	compound
4	Qaeda	PROPN	5	compound
5	member	NOUN	19	nsubj
6	(	PUNCT	8	punct
7	a	DET	8	det
8	shura	NOUN	5	appos
9	or	CCONJ	14	cc
10	policy	NOUN	12	compound
11	-	PUNCT	12	punct
12	making	VERB	14	amod
13	council	NOUN	14	compound
14	member	NOUN	8	conj
15	no	ADV	16	advmod
16	less	ADV	8	advmod
17	)	PUNCT	8	punct
18	was	AUX	19	aux
19	working	VERB	0	root
20	for	ADP	24	case
21	the	DET	24	det
22	Egyptian	ADJ	24	amod
23	intelligence	NOUN	24	compound
24	services	NOUN	19	obl
25	and	CCONJ	27	cc
26	he	PRON	27	nsubj
27	confirmed	VERB	19	conj
28	the	DET	29	det
29	report	NOUN	27	obj
30	in	ADP	34	case
31	a	DET	34	det
32	sworn	VERB	34	amod
33	lengthy	ADJ	34	amod
34	confession	NOUN	27	obl
35	.	PUNCT	19	punct