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:
50- Percentage of screened workers at Ground Zero who now suffer from long-term health problems, almost half of whom don't have health insurance.
Postion	Tokenization
1	50
2	-
3	Percentage
4	of
5	screened
6	workers
7	at
8	Ground
9	Zero
10	who
11	now
12	suffer
13	from
14	long
15	-
16	term
17	health
18	problems
19	,
20	almost
21	half
22	of
23	whom
24	don't
25	do
26	n't
27	have
28	health
29	insurance
30	.
Position	Tokenization	UPOS	Head	Deprel
1	50	NUM	0	root
2	-	PUNCT	1	punct
3	Percentage	NOUN	1	appos
4	of	ADP	6	case
5	screened	VERB	6	amod
6	workers	NOUN	3	nmod
7	at	ADP	9	case
8	Ground	PROPN	9	compound
9	Zero	PROPN	6	nmod
10	who	PRON	12	nsubj
11	now	ADV	12	advmod
12	suffer	VERB	6	acl:relcl
13	from	ADP	18	case
14	long	ADJ	16	amod
15	-	PUNCT	16	punct
16	term	NOUN	18	compound
17	health	NOUN	18	compound
18	problems	NOUN	12	obl
19	,	PUNCT	6	punct
20	almost	ADV	21	advmod
21	half	NOUN	26	nsubj
22	of	ADP	23	case
23	whom	PRON	21	nmod
24	don't	_	None	_
25	do	AUX	26	aux
26	n't	PART	26	advmod
27	have	VERB	6	acl:relcl
28	health	NOUN	28	compound
29	insurance	NOUN	26	obj
30	.	PUNCT	1	punct