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:
Several candidates were assassinated and targeted these last two weeks, others have been forced under threats to withdraw and to follow the example of the Islamic party.
Postion	Tokenization
1	Several
2	candidates
3	were
4	assassinated
5	and
6	targeted
7	these
8	last
9	two
10	weeks
11	,
12	others
13	have
14	been
15	forced
16	under
17	threats
18	to
19	withdraw
20	and
21	to
22	follow
23	the
24	example
25	of
26	the
27	Islamic
28	party
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Several	ADJ	2	amod
2	candidates	NOUN	4	nsubj:pass
3	were	AUX	4	aux:pass
4	assassinated	VERB	0	root
5	and	CCONJ	6	cc
6	targeted	VERB	4	conj
7	these	DET	10	det
8	last	ADJ	10	amod
9	two	NUM	10	nummod
10	weeks	NOUN	4	obl:tmod
11	,	PUNCT	4	punct
12	others	NOUN	15	nsubj:pass
13	have	AUX	15	aux
14	been	AUX	15	aux:pass
15	forced	VERB	4	ccomp
16	under	ADP	17	case
17	threats	NOUN	15	obl
18	to	PART	19	mark
19	withdraw	VERB	15	ccomp
20	and	CCONJ	22	cc
21	to	PART	22	mark
22	follow	VERB	19	conj
23	the	DET	24	det
24	example	NOUN	22	obj
25	of	ADP	28	case
26	the	DET	28	det
27	Islamic	PROPN	28	compound
28	party	PROPN	24	nmod
29	.	PUNCT	4	punct