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:
It is pointless to try to understand the subtle differences between the Sunni terror of Al Qaeda and Hamas and the Shiite terror of Hezbollah, Sadr and other Iranian-inspired enterprises.
Postion	Tokenization
1	It
2	is
3	pointless
4	to
5	try
6	to
7	understand
8	the
9	subtle
10	differences
11	between
12	the
13	Sunni
14	terror
15	of
16	Al
17	Qaeda
18	and
19	Hamas
20	and
21	the
22	Shiite
23	terror
24	of
25	Hezbollah
26	,
27	Sadr
28	and
29	other
30	Iranian
31	-
32	inspired
33	enterprises
34	.
Position	Tokenization	UPOS	Head	Deprel
1	It	PRON	3	expl
2	is	AUX	3	cop
3	pointless	ADJ	0	root
4	to	PART	5	mark
5	try	VERB	3	csubj
6	to	PART	7	mark
7	understand	VERB	5	xcomp
8	the	DET	10	det
9	subtle	ADJ	10	amod
10	differences	NOUN	7	obj
11	between	ADP	14	case
12	the	DET	14	det
13	Sunni	ADJ	14	amod
14	terror	NOUN	10	nmod
15	of	ADP	17	case
16	Al	PROPN	17	compound
17	Qaeda	PROPN	14	nmod
18	and	CCONJ	19	cc
19	Hamas	PROPN	17	conj
20	and	CCONJ	23	cc
21	the	DET	23	det
22	Shiite	ADJ	23	amod
23	terror	NOUN	14	conj
24	of	ADP	25	case
25	Hezbollah	PROPN	23	nmod
26	,	PUNCT	27	punct
27	Sadr	PROPN	25	conj
28	and	CCONJ	33	cc
29	other	ADJ	33	amod
30	Iranian	ADJ	32	compound
31	-	PUNCT	32	punct
32	inspired	VERB	33	amod
33	enterprises	NOUN	25	conj
34	.	PUNCT	3	punct