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 events of the last few years have amplified four issues, which have always existed, but have never been as rampant as in the present upheaval in the region.
Postion	Tokenization
1	The
2	events
3	of
4	the
5	last
6	few
7	years
8	have
9	amplified
10	four
11	issues
12	,
13	which
14	have
15	always
16	existed
17	,
18	but
19	have
20	never
21	been
22	as
23	rampant
24	as
25	in
26	the
27	present
28	upheaval
29	in
30	the
31	region
32	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	2	det
2	events	NOUN	9	nsubj
3	of	ADP	7	case
4	the	DET	7	det
5	last	ADJ	7	amod
6	few	ADJ	7	amod
7	years	NOUN	2	nmod
8	have	AUX	9	aux
9	amplified	VERB	0	root
10	four	NUM	11	nummod
11	issues	NOUN	9	obj
12	,	PUNCT	11	punct
13	which	PRON	16	nsubj
14	have	AUX	16	aux
15	always	ADV	16	advmod
16	existed	VERB	11	acl:relcl
17	,	PUNCT	23	punct
18	but	CCONJ	23	cc
19	have	AUX	23	aux
20	never	ADV	23	advmod
21	been	AUX	23	cop
22	as	ADV	23	advmod
23	rampant	ADJ	16	conj
24	as	ADP	28	case
25	in	ADP	28	case
26	the	DET	28	det
27	present	ADJ	28	amod
28	upheaval	NOUN	23	obl
29	in	ADP	31	case
30	the	DET	31	det
31	region	NOUN	28	nmod
32	.	PUNCT	9	punct