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:
These are the kids who will destroy society, because of the crapfest the American family has become under the post hippie culture, you heard again.
Postion	Tokenization
1	These
2	are
3	the
4	kids
5	who
6	will
7	destroy
8	society
9	,
10	because
11	of
12	the
13	crapfest
14	the
15	American
16	family
17	has
18	become
19	under
20	the
21	post
22	hippie
23	culture
24	,
25	you
26	heard
27	again
28	.
Position	Tokenization	UPOS	Head	Deprel
1	These	PRON	4	nsubj
2	are	AUX	4	cop
3	the	DET	4	det
4	kids	NOUN	0	root
5	who	PRON	7	nsubj
6	will	AUX	7	aux
7	destroy	VERB	4	acl:relcl
8	society	NOUN	7	obj
9	,	PUNCT	7	punct
10	because	ADP	13	case
11	of	ADP	10	fixed
12	the	DET	13	det
13	crapfest	NOUN	7	obl
14	the	DET	16	det
15	American	ADJ	16	amod
16	family	NOUN	18	nsubj
17	has	AUX	18	aux
18	become	VERB	13	acl:relcl
19	under	ADP	23	case
20	the	DET	23	det
21	post	X	22	advmod
22	hippie	ADJ	23	amod
23	culture	NOUN	18	obl
24	,	PUNCT	4	punct
25	you	PRON	26	nsubj
26	heard	VERB	4	parataxis
27	again	ADV	26	advmod
28	.	PUNCT	4	punct