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:
I think it is wonderfully responsible that you are going into this rescue eyes open and are getting the opinions of qualified professionals (and a bunch of Yahoos) before you decide to take this horse on.
Postion	Tokenization
1	I
2	think
3	it
4	is
5	wonderfully
6	responsible
7	that
8	you
9	are
10	going
11	into
12	this
13	rescue
14	eyes
15	open
16	and
17	are
18	getting
19	the
20	opinions
21	of
22	qualified
23	professionals
24	(
25	and
26	a
27	bunch
28	of
29	Yahoos
30	)
31	before
32	you
33	decide
34	to
35	take
36	this
37	horse
38	on
39	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	think	VERB	0	root
3	it	PRON	6	nsubj
4	is	AUX	6	cop
5	wonderfully	ADV	6	advmod
6	responsible	ADJ	2	ccomp
7	that	SCONJ	10	mark
8	you	PRON	10	nsubj
9	are	AUX	10	aux
10	going	VERB	6	ccomp
11	into	ADP	13	case
12	this	DET	13	det
13	rescue	NOUN	10	obl
14	eyes	NOUN	10	obj
15	open	ADJ	10	xcomp
16	and	CCONJ	18	cc
17	are	AUX	18	aux
18	getting	VERB	10	conj
19	the	DET	20	det
20	opinions	NOUN	18	obj
21	of	ADP	23	case
22	qualified	ADJ	23	amod
23	professionals	NOUN	20	nmod
24	(	PUNCT	23	punct
25	and	CCONJ	27	cc
26	a	DET	27	det
27	bunch	NOUN	23	conj
28	of	ADP	29	case
29	Yahoos	NOUN	27	nmod
30	)	PUNCT	23	punct
31	before	SCONJ	33	mark
32	you	PRON	33	nsubj
33	decide	VERB	18	advcl
34	to	PART	35	mark
35	take	VERB	33	xcomp
36	this	DET	37	det
37	horse	NOUN	35	obj
38	on	ADP	35	compound:prt
39	.	PUNCT	2	punct