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:
Instead they are encouraging everyone to come forward if they see any potential problems (as it is clear that overlooked problems could result in unnecessary losses).
Postion	Tokenization
1	Instead
2	they
3	are
4	encouraging
5	everyone
6	to
7	come
8	forward
9	if
10	they
11	see
12	any
13	potential
14	problems
15	(
16	as
17	it
18	is
19	clear
20	that
21	overlooked
22	problems
23	could
24	result
25	in
26	unnecessary
27	losses
28	)
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Instead	ADV	4	advmod
2	they	PRON	4	nsubj
3	are	AUX	4	aux
4	encouraging	VERB	0	root
5	everyone	PRON	4	obj
6	to	PART	7	mark
7	come	VERB	4	xcomp
8	forward	ADV	7	advmod
9	if	SCONJ	11	mark
10	they	PRON	11	nsubj
11	see	VERB	7	advcl
12	any	DET	14	det
13	potential	ADJ	14	amod
14	problems	NOUN	11	obj
15	(	PUNCT	19	punct
16	as	SCONJ	19	mark
17	it	PRON	19	expl
18	is	AUX	19	cop
19	clear	ADJ	4	parataxis
20	that	SCONJ	24	mark
21	overlooked	VERB	22	amod
22	problems	NOUN	24	nsubj
23	could	AUX	24	aux
24	result	VERB	19	csubj
25	in	ADP	27	case
26	unnecessary	ADJ	27	amod
27	losses	NOUN	24	obl
28	)	PUNCT	19	punct
29	.	PUNCT	4	punct