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:
Unemployent stays low because half the population oversees those "out of the workforce", the dregs, the rabble, the enemy?
Postion	Tokenization
1	Unemployent
2	stays
3	low
4	because
5	half
6	the
7	population
8	oversees
9	those
10	"
11	out
12	of
13	the
14	workforce
15	"
16	,
17	the
18	dregs
19	,
20	the
21	rabble
22	,
23	the
24	enemy
25	?
Position	Tokenization	UPOS	Head	Deprel
1	Unemployent	NOUN	2	nsubj
2	stays	VERB	0	root
3	low	ADJ	2	xcomp
4	because	SCONJ	8	mark
5	half	DET	7	det:predet
6	the	DET	7	det
7	population	NOUN	8	nsubj
8	oversees	VERB	2	advcl
9	those	PRON	8	obj
10	"	PUNCT	14	punct
11	out	ADP	14	case
12	of	ADP	14	case
13	the	DET	14	det
14	workforce	NOUN	9	nmod
15	"	PUNCT	14	punct
16	,	PUNCT	9	punct
17	the	DET	18	det
18	dregs	NOUN	9	appos
19	,	PUNCT	9	punct
20	the	DET	21	det
21	rabble	NOUN	9	appos
22	,	PUNCT	9	punct
23	the	DET	24	det
24	enemy	NOUN	9	appos
25	?	PUNCT	3	punct