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:
We are now suffering from the consequences of our rape of the environment, our rejection of the natural for the industrial, and our embrace of violence over peace.
Postion	Tokenization
1	We
2	are
3	now
4	suffering
5	from
6	the
7	consequences
8	of
9	our
10	rape
11	of
12	the
13	environment
14	,
15	our
16	rejection
17	of
18	the
19	natural
20	for
21	the
22	industrial
23	,
24	and
25	our
26	embrace
27	of
28	violence
29	over
30	peace
31	.
Position	Tokenization	UPOS	Head	Deprel
1	We	PRON	4	nsubj
2	are	AUX	4	aux
3	now	ADV	4	advmod
4	suffering	VERB	0	root
5	from	ADP	7	case
6	the	DET	7	det
7	consequences	NOUN	4	obl
8	of	ADP	10	case
9	our	PRON	10	nmod:poss
10	rape	NOUN	7	nmod
11	of	ADP	13	case
12	the	DET	13	det
13	environment	NOUN	10	nmod
14	,	PUNCT	16	punct
15	our	PRON	16	nmod:poss
16	rejection	NOUN	10	conj
17	of	ADP	19	case
18	the	DET	19	det
19	natural	ADJ	16	nmod
20	for	ADP	22	case
21	the	DET	22	det
22	industrial	ADJ	16	nmod
23	,	PUNCT	26	punct
24	and	CCONJ	26	cc
25	our	PRON	26	nmod:poss
26	embrace	NOUN	10	conj
27	of	ADP	28	case
28	violence	NOUN	26	nmod
29	over	ADP	30	case
30	peace	NOUN	28	nmod
31	.	PUNCT	4	punct