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 text: Now, I would argue that one could have reasonably predicted that some form of military violence was likely to occur in Lebanon (considering that the country has been experiencing some form of conflict for approximately the last 32 years).
Position	Tokenization	UPOS	Head	Deprel
1	Now	ADV	5	advmod
2	,	PUNCT	5	punct
3	I	PRON	5	nsubj
4	would	AUX	5	aux
5	argue	VERB	0	root
6	that	SCONJ	11	mark
7	one	PRON	11	nsubj
8	could	AUX	11	aux
9	have	AUX	11	aux
10	reasonably	ADV	11	advmod
11	predicted	VERB	5	ccomp
12	that	SCONJ	19	mark
13	some	DET	14	det
14	form	NOUN	19	nsubj
15	of	ADP	17	case
16	military	ADJ	17	amod
17	violence	NOUN	14	nmod
18	was	AUX	19	cop
19	likely	ADJ	11	ccomp
20	to	PART	21	mark
21	occur	VERB	19	xcomp
22	in	ADP	23	case
23	Lebanon	PROPN	21	obl
24	(	PUNCT	25	punct
25	considering	VERB	19	advcl
26	that	SCONJ	31	mark
27	the	DET	28	det
28	country	NOUN	31	nsubj
29	has	AUX	31	aux
30	been	AUX	31	aux
31	experiencing	VERB	25	ccomp
32	some	DET	33	det
33	form	NOUN	31	obj
34	of	ADP	35	case
35	conflict	NOUN	33	nmod
36	for	ADP	41	case
37	approximately	ADV	41	advmod
38	the	DET	41	det
39	last	ADJ	41	amod
40	32	NUM	41	nummod
41	years	NOUN	31	obl
42	)	PUNCT	25	punct
43	.	PUNCT	5	punct