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:
His delight in killing people became a campaign issue in 2000 when he seemed, in one debate, to enjoy the prospect of executing wrong-doers a little too much.
Postion	Tokenization
1	His
2	delight
3	in
4	killing
5	people
6	became
7	a
8	campaign
9	issue
10	in
11	2000
12	when
13	he
14	seemed
15	,
16	in
17	one
18	debate
19	,
20	to
21	enjoy
22	the
23	prospect
24	of
25	executing
26	wrong
27	-
28	doers
29	a
30	little
31	too
32	much
33	.
Position	Tokenization	UPOS	Head	Deprel
1	His	PRON	2	nmod:poss
2	delight	NOUN	6	nsubj
3	in	SCONJ	4	mark
4	killing	VERB	2	acl
5	people	NOUN	4	obj
6	became	VERB	0	root
7	a	DET	9	det
8	campaign	NOUN	9	compound
9	issue	NOUN	6	xcomp
10	in	ADP	11	case
11	2000	NUM	9	nmod
12	when	SCONJ	14	mark
13	he	PRON	14	nsubj
14	seemed	VERB	6	advcl
15	,	PUNCT	14	punct
16	in	ADP	18	case
17	one	NUM	18	nummod
18	debate	NOUN	14	obl
19	,	PUNCT	14	punct
20	to	PART	21	mark
21	enjoy	VERB	14	xcomp
22	the	DET	23	det
23	prospect	NOUN	21	obj
24	of	SCONJ	25	mark
25	executing	VERB	23	acl
26	wrong	ADJ	28	nmod:npmod
27	-	PUNCT	28	punct
28	doers	NOUN	25	obj
29	a	DET	30	det
30	little	ADJ	32	advmod
31	too	ADV	32	advmod
32	much	ADV	21	advmod
33	.	PUNCT	9	punct