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:
Workers who do these introductions look at the interaction objectively; and it's good to see they are able and willing to say no if they feel there would be a problem.
Postion	Tokenization
1	Workers
2	who
3	do
4	these
5	introductions
6	look
7	at
8	the
9	interaction
10	objectively
11	;
12	and
13	it's
14	it
15	's
16	good
17	to
18	see
19	they
20	are
21	able
22	and
23	willing
24	to
25	say
26	no
27	if
28	they
29	feel
30	there
31	would
32	be
33	a
34	problem
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Workers	NOUN	6	nsubj
2	who	PRON	3	nsubj
3	do	VERB	1	acl:relcl
4	these	DET	5	det
5	introductions	NOUN	3	obj
6	look	VERB	0	root
7	at	ADP	9	case
8	the	DET	9	det
9	interaction	NOUN	6	obl
10	objectively	ADV	6	advmod
11	;	PUNCT	6	punct
12	and	CCONJ	15	cc
13	it's	_	None	_
14	it	PRON	15	expl
15	's	AUX	15	cop
16	good	ADJ	6	conj
17	to	PART	17	mark
18	see	VERB	15	csubj
19	they	PRON	20	nsubj
20	are	AUX	20	cop
21	able	ADJ	17	ccomp
22	and	CCONJ	22	cc
23	willing	ADJ	20	conj
24	to	PART	24	mark
25	say	VERB	20	xcomp
26	no	INTJ	24	discourse
27	if	SCONJ	28	mark
28	they	PRON	28	nsubj
29	feel	VERB	24	advcl
30	there	PRON	31	expl
31	would	AUX	31	aux
32	be	VERB	28	ccomp
33	a	DET	33	det
34	problem	NOUN	31	nsubj
35	.	PUNCT	6	punct