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:
What do the new al-Qaeda videotape and audio speeches of Bin Laden and Ayman al-Zawahiri tell us about the hopes of the remaining top leadership of the organization?
Postion	Tokenization
1	What
2	do
3	the
4	new
5	al
6	-
7	Qaeda
8	videotape
9	and
10	audio
11	speeches
12	of
13	Bin
14	Laden
15	and
16	Ayman
17	al
18	-
19	Zawahiri
20	tell
21	us
22	about
23	the
24	hopes
25	of
26	the
27	remaining
28	top
29	leadership
30	of
31	the
32	organization
33	?
Position	Tokenization	UPOS	Head	Deprel
1	What	PRON	20	obj
2	do	AUX	20	aux
3	the	DET	11	det
4	new	ADJ	11	amod
5	al	PROPN	7	compound
6	-	PUNCT	7	punct
7	Qaeda	PROPN	11	compound
8	videotape	NOUN	11	compound
9	and	CCONJ	10	cc
10	audio	NOUN	8	conj
11	speeches	NOUN	20	nsubj
12	of	ADP	13	case
13	Bin	PROPN	11	nmod
14	Laden	PROPN	13	flat
15	and	CCONJ	16	cc
16	Ayman	PROPN	13	conj
17	al	PROPN	16	flat
18	-	PUNCT	16	punct
19	Zawahiri	PROPN	16	flat
20	tell	VERB	0	root
21	us	PRON	20	iobj
22	about	ADP	24	case
23	the	DET	24	det
24	hopes	NOUN	20	obl
25	of	ADP	29	case
26	the	DET	29	det
27	remaining	ADJ	29	amod
28	top	ADJ	29	amod
29	leadership	NOUN	24	nmod
30	of	ADP	32	case
31	the	DET	32	det
32	organization	NOUN	29	nmod
33	?	PUNCT	20	punct