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 kind of see him to be for animal rights theory as Peter Singer is to the theory of utilitarianism applied to non-human animals).
Postion	Tokenization
1	(
2	I
3	kind
4	of
5	see
6	him
7	to
8	be
9	for
10	animal
11	rights
12	theory
13	as
14	Peter
15	Singer
16	is
17	to
18	the
19	theory
20	of
21	utilitarianism
22	applied
23	to
24	non-human
25	animals
26	)
27	.
Position	Tokenization	UPOS	Head	Deprel
1	(	PUNCT	5	punct
2	I	PRON	5	nsubj
3	kind	ADV	5	advmod
4	of	ADV	3	fixed
5	see	VERB	0	root
6	him	PRON	5	obj
7	to	PART	12	mark
8	be	AUX	12	cop
9	for	ADP	12	case
10	animal	NOUN	11	compound
11	rights	NOUN	12	compound
12	theory	NOUN	5	xcomp
13	as	SCONJ	19	mark
14	Peter	PROPN	19	nsubj
15	Singer	PROPN	14	flat
16	is	AUX	19	cop
17	to	ADP	19	case
18	the	DET	19	det
19	theory	NOUN	12	advcl
20	of	ADP	21	case
21	utilitarianism	NOUN	19	nmod
22	applied	VERB	19	acl
23	to	ADP	25	case
24	non-human	ADJ	25	amod
25	animals	NOUN	22	obl
26	)	PUNCT	5	punct
27	.	PUNCT	5	punct