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:
If anyone wants the complete article, email me, as it is a very good article which no meat-eater can read and not sense their own hypocrisy.
Postion	Tokenization
1	If
2	anyone
3	wants
4	the
5	complete
6	article
7	,
8	email
9	me
10	,
11	as
12	it
13	is
14	a
15	very
16	good
17	article
18	which
19	no
20	meat
21	-
22	eater
23	can
24	read
25	and
26	not
27	sense
28	their
29	own
30	hypocrisy
31	.
Position	Tokenization	UPOS	Head	Deprel
1	If	SCONJ	3	mark
2	anyone	PRON	3	nsubj
3	wants	VERB	8	advcl
4	the	DET	6	det
5	complete	ADJ	6	amod
6	article	NOUN	3	obj
7	,	PUNCT	8	punct
8	email	VERB	0	root
9	me	PRON	8	obj
10	,	PUNCT	8	punct
11	as	SCONJ	17	mark
12	it	PRON	17	nsubj
13	is	AUX	17	cop
14	a	DET	17	det
15	very	ADV	16	advmod
16	good	ADJ	17	amod
17	article	NOUN	8	advcl
18	which	PRON	24	obj
19	no	DET	22	det
20	meat	NOUN	22	compound
21	-	PUNCT	22	punct
22	eater	NOUN	24	nsubj
23	can	AUX	24	aux
24	read	VERB	17	acl:relcl
25	and	CCONJ	27	cc
26	not	PART	27	advmod
27	sense	VERB	24	conj
28	their	PRON	30	nmod:poss
29	own	ADJ	30	amod
30	hypocrisy	NOUN	27	obj
31	.	PUNCT	8	punct