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:
I've been fuming over this fact for a few weeks now, ever since some organizations and governments suggested we need to accept the fact that Hezbollah will get involved in running Lebanon.
Postion	Tokenization
1	I've
2	I
3	've
4	been
5	fuming
6	over
7	this
8	fact
9	for
10	a
11	few
12	weeks
13	now
14	,
15	ever
16	since
17	some
18	organizations
19	and
20	governments
21	suggested
22	we
23	need
24	to
25	accept
26	the
27	fact
28	that
29	Hezbollah
30	will
31	get
32	involved
33	in
34	running
35	Lebanon
36	.
Position	Tokenization	UPOS	Head	Deprel
1	I've	_	None	_
2	I	PRON	4	nsubj
3	've	AUX	4	aux
4	been	AUX	4	aux
5	fuming	VERB	0	root
6	over	ADP	7	case
7	this	DET	7	det
8	fact	NOUN	4	obl
9	for	ADP	11	case
10	a	DET	11	det
11	few	ADJ	11	amod
12	weeks	NOUN	4	obl
13	now	ADV	4	advmod
14	,	PUNCT	4	punct
15	ever	ADV	20	advmod
16	since	SCONJ	20	mark
17	some	DET	17	det
18	organizations	NOUN	20	nsubj
19	and	CCONJ	19	cc
20	governments	NOUN	17	conj
21	suggested	VERB	4	ccomp
22	we	PRON	22	nsubj
23	need	VERB	20	ccomp
24	to	PART	24	mark
25	accept	VERB	22	xcomp
26	the	DET	26	det
27	fact	NOUN	24	obj
28	that	SCONJ	30	mark
29	Hezbollah	PROPN	30	nsubj
30	will	AUX	30	aux
31	get	VERB	26	acl
32	involved	ADJ	30	xcomp
33	in	SCONJ	33	mark
34	running	VERB	31	advcl
35	Lebanon	PROPN	33	obj
36	.	PUNCT	4	punct