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:
Zawahiri argued instead that they have been active since the assassination of Anwar Sadat in Egypt because of the Camp David Accord and the resulting peace treaty between Egypt and Israel.
Postion	Tokenization
1	Zawahiri
2	argued
3	instead
4	that
5	they
6	have
7	been
8	active
9	since
10	the
11	assassination
12	of
13	Anwar
14	Sadat
15	in
16	Egypt
17	because
18	of
19	the
20	Camp
21	David
22	Accord
23	and
24	the
25	resulting
26	peace
27	treaty
28	between
29	Egypt
30	and
31	Israel
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Zawahiri	PROPN	2	nsubj
2	argued	VERB	0	root
3	instead	ADV	2	advmod
4	that	SCONJ	8	mark
5	they	PRON	8	nsubj
6	have	AUX	8	aux
7	been	AUX	8	cop
8	active	ADJ	2	ccomp
9	since	ADP	11	case
10	the	DET	11	det
11	assassination	NOUN	8	obl
12	of	ADP	13	case
13	Anwar	PROPN	11	nmod
14	Sadat	PROPN	13	flat
15	in	ADP	16	case
16	Egypt	PROPN	11	nmod
17	because	ADP	22	case
18	of	ADP	17	fixed
19	the	DET	22	det
20	Camp	PROPN	21	compound
21	David	PROPN	22	compound
22	Accord	PROPN	11	nmod
23	and	CCONJ	27	cc
24	the	DET	27	det
25	resulting	VERB	27	amod
26	peace	NOUN	27	compound
27	treaty	NOUN	22	conj
28	between	ADP	29	case
29	Egypt	PROPN	27	nmod
30	and	CCONJ	31	cc
31	Israel	PROPN	29	conj
32	.	PUNCT	2	punct