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:
Sunni Arab fundamentalists deeply sympathize with the Palestinians and with Hamas, and those in Iraq have deep historical inks with fundamentalists in Jordan and Palestine.
Postion	Tokenization
1	Sunni
2	Arab
3	fundamentalists
4	deeply
5	sympathize
6	with
7	the
8	Palestinians
9	and
10	with
11	Hamas
12	,
13	and
14	those
15	in
16	Iraq
17	have
18	deep
19	historical
20	inks
21	with
22	fundamentalists
23	in
24	Jordan
25	and
26	Palestine
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Sunni	ADJ	2	amod
2	Arab	ADJ	3	amod
3	fundamentalists	NOUN	5	nsubj
4	deeply	ADV	5	advmod
5	sympathize	VERB	0	root
6	with	ADP	8	case
7	the	DET	8	det
8	Palestinians	PROPN	5	obl
9	and	CCONJ	11	cc
10	with	ADP	11	case
11	Hamas	PROPN	8	conj
12	,	PUNCT	17	punct
13	and	CCONJ	17	cc
14	those	PRON	17	nsubj
15	in	ADP	16	case
16	Iraq	PROPN	14	nmod
17	have	VERB	5	conj
18	deep	VERB	20	amod
19	historical	ADJ	20	amod
20	inks	NOUN	17	obj
21	with	ADP	22	case
22	fundamentalists	NOUN	20	nmod
23	in	ADP	24	case
24	Jordan	PROPN	22	nmod
25	and	CCONJ	26	cc
26	Palestine	PROPN	24	conj
27	.	PUNCT	5	punct