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:
When nacho is driving to cure the influenza guy does he say to the man with the cow i like your blouse or I like your cow because my friend thinks he says I like your blouse, but that wouldn't make sense.
Postion	Tokenization
1	When
2	nacho
3	is
4	driving
5	to
6	cure
7	the
8	influenza
9	guy
10	does
11	he
12	say
13	to
14	the
15	man
16	with
17	the
18	cow
19	i
20	like
21	your
22	blouse
23	or
24	I
25	like
26	your
27	cow
28	because
29	my
30	friend
31	thinks
32	he
33	says
34	I
35	like
36	your
37	blouse
38	,
39	but
40	that
41	wouldn't
42	would
43	n't
44	make
45	sense
46	.
Position	Tokenization	UPOS	Head	Deprel
1	When	SCONJ	4	mark
2	nacho	PROPN	4	nsubj
3	is	AUX	4	aux
4	driving	VERB	12	advcl
5	to	PART	6	mark
6	cure	VERB	4	advcl
7	the	DET	9	det
8	influenza	NOUN	9	compound
9	guy	NOUN	6	obj
10	does	AUX	12	aux
11	he	PRON	12	nsubj
12	say	VERB	0	root
13	to	ADP	15	case
14	the	DET	15	det
15	man	NOUN	12	obl
16	with	ADP	18	case
17	the	DET	18	det
18	cow	NOUN	15	nmod
19	i	PRON	20	nsubj
20	like	VERB	12	ccomp
21	your	PRON	22	nmod:poss
22	blouse	NOUN	20	obj
23	or	CCONJ	25	cc
24	I	PRON	25	nsubj
25	like	VERB	20	conj
26	your	PRON	27	nmod:poss
27	cow	NOUN	25	obj
28	because	SCONJ	31	mark
29	my	PRON	30	nmod:poss
30	friend	NOUN	31	nsubj
31	thinks	VERB	12	advcl
32	he	PRON	33	nsubj
33	says	VERB	31	ccomp
34	I	PRON	35	nsubj
35	like	VERB	33	ccomp
36	your	PRON	37	nmod:poss
37	blouse	NOUN	35	obj
38	,	PUNCT	43	punct
39	but	CCONJ	43	cc
40	that	PRON	43	nsubj
41	wouldn't	_	None	_
42	would	AUX	43	aux
43	n't	PART	43	advmod
44	make	VERB	31	conj
45	sense	NOUN	43	obj
46	.	PUNCT	12	punct