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:
The Palestinians who have been willing to kill themselves to end the Israeli occupation of the Gaza Strip and the West Bank were not driven by economic considerations.
Postion	Tokenization
1	The
2	Palestinians
3	who
4	have
5	been
6	willing
7	to
8	kill
9	themselves
10	to
11	end
12	the
13	Israeli
14	occupation
15	of
16	the
17	Gaza
18	Strip
19	and
20	the
21	West
22	Bank
23	were
24	not
25	driven
26	by
27	economic
28	considerations
29	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	2	det
2	Palestinians	PROPN	25	nsubj:pass
3	who	PRON	6	nsubj
4	have	AUX	6	aux
5	been	AUX	6	cop
6	willing	ADJ	2	acl:relcl
7	to	PART	8	mark
8	kill	VERB	6	xcomp
9	themselves	PRON	8	obj
10	to	PART	11	mark
11	end	VERB	8	advcl
12	the	DET	14	det
13	Israeli	ADJ	14	amod
14	occupation	NOUN	11	obj
15	of	ADP	18	case
16	the	DET	18	det
17	Gaza	PROPN	18	compound
18	Strip	PROPN	14	nmod
19	and	CCONJ	22	cc
20	the	DET	22	det
21	West	PROPN	22	compound
22	Bank	PROPN	18	conj
23	were	AUX	25	aux:pass
24	not	PART	25	advmod
25	driven	VERB	0	root
26	by	ADP	28	case
27	economic	ADJ	28	amod
28	considerations	NOUN	25	obl
29	.	PUNCT	25	punct