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:
A recently released islamist who had been a close associate of Zawahiri said that Zawahiri spent a decade and had made 15 separate attempts to recruit the necessary expertise to weaponize anthrax in Russia and the Middle East.
Postion	Tokenization
1	A
2	recently
3	released
4	islamist
5	who
6	had
7	been
8	a
9	close
10	associate
11	of
12	Zawahiri
13	said
14	that
15	Zawahiri
16	spent
17	a
18	decade
19	and
20	had
21	made
22	15
23	separate
24	attempts
25	to
26	recruit
27	the
28	necessary
29	expertise
30	to
31	weaponize
32	anthrax
33	in
34	Russia
35	and
36	the
37	Middle
38	East
39	.
Position	Tokenization	UPOS	Head	Deprel
1	A	DET	4	det
2	recently	ADV	3	advmod
3	released	VERB	4	amod
4	islamist	NOUN	13	nsubj
5	who	PRON	10	nsubj
6	had	AUX	10	aux
7	been	AUX	10	cop
8	a	DET	10	det
9	close	ADJ	10	amod
10	associate	NOUN	4	acl:relcl
11	of	ADP	12	case
12	Zawahiri	PROPN	10	nmod
13	said	VERB	0	root
14	that	SCONJ	16	mark
15	Zawahiri	PROPN	16	nsubj
16	spent	VERB	13	ccomp
17	a	DET	18	det
18	decade	NOUN	16	obj
19	and	CCONJ	21	cc
20	had	AUX	21	aux
21	made	VERB	16	conj
22	15	NUM	24	nummod
23	separate	ADJ	24	amod
24	attempts	NOUN	21	obj
25	to	PART	26	mark
26	recruit	VERB	24	acl
27	the	DET	29	det
28	necessary	ADJ	29	amod
29	expertise	NOUN	26	obj
30	to	PART	31	mark
31	weaponize	VERB	29	acl
32	anthrax	NOUN	31	obj
33	in	ADP	34	case
34	Russia	PROPN	31	obl
35	and	CCONJ	38	cc
36	the	DET	38	det
37	Middle	PROPN	38	compound
38	East	PROPN	34	conj
39	.	PUNCT	13	punct