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 interim government has promised security measures that would reduce the violence on the day of elections, but I fail to see how they will be able to protect all 5,000 (or so) balloting centres.
Postion	Tokenization
1	The
2	interim
3	government
4	has
5	promised
6	security
7	measures
8	that
9	would
10	reduce
11	the
12	violence
13	on
14	the
15	day
16	of
17	elections
18	,
19	but
20	I
21	fail
22	to
23	see
24	how
25	they
26	will
27	be
28	able
29	to
30	protect
31	all
32	5,000
33	(
34	or
35	so
36	)
37	balloting
38	centres
39	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	3	det
2	interim	ADJ	3	amod
3	government	NOUN	5	nsubj
4	has	AUX	5	aux
5	promised	VERB	0	root
6	security	NOUN	7	compound
7	measures	NOUN	5	obj
8	that	PRON	10	nsubj
9	would	AUX	10	aux
10	reduce	VERB	7	acl:relcl
11	the	DET	12	det
12	violence	NOUN	10	obj
13	on	ADP	15	case
14	the	DET	15	det
15	day	NOUN	10	obl
16	of	ADP	17	case
17	elections	NOUN	15	nmod
18	,	PUNCT	21	punct
19	but	CCONJ	21	cc
20	I	PRON	21	nsubj
21	fail	VERB	5	conj
22	to	PART	23	mark
23	see	VERB	21	xcomp
24	how	SCONJ	28	mark
25	they	PRON	28	nsubj
26	will	AUX	28	aux
27	be	AUX	28	cop
28	able	ADJ	23	ccomp
29	to	PART	30	mark
30	protect	VERB	28	xcomp
31	all	DET	38	det
32	5,000	NUM	38	nummod
33	(	PUNCT	32	punct
34	or	CCONJ	35	cc
35	so	ADV	32	conj
36	)	PUNCT	35	punct
37	balloting	NOUN	38	compound
38	centres	NOUN	30	obj
39	.	PUNCT	5	punct