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:
The main reason I wrote this post is to ask anyone reading this if they know of some way I can help put a stop to this Cat Holocaust.
Postion	Tokenization
1	The
2	main
3	reason
4	I
5	wrote
6	this
7	post
8	is
9	to
10	ask
11	anyone
12	reading
13	this
14	if
15	they
16	know
17	of
18	some
19	way
20	I
21	can
22	help
23	put
24	a
25	stop
26	to
27	this
28	Cat
29	Holocaust
30	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	3	det
2	main	ADJ	3	amod
3	reason	NOUN	8	nsubj
4	I	PRON	5	nsubj
5	wrote	VERB	3	acl:relcl
6	this	DET	7	det
7	post	NOUN	5	obj
8	is	VERB	0	root
9	to	PART	10	mark
10	ask	VERB	8	ccomp
11	anyone	PRON	10	obj
12	reading	VERB	11	acl
13	this	PRON	12	obj
14	if	SCONJ	16	mark
15	they	PRON	16	nsubj
16	know	VERB	10	advcl
17	of	ADP	19	case
18	some	DET	19	det
19	way	NOUN	16	obl
20	I	PRON	22	nsubj
21	can	AUX	22	aux
22	help	VERB	19	acl:relcl
23	put	VERB	22	ccomp
24	a	DET	25	det
25	stop	NOUN	23	obj
26	to	ADP	29	case
27	this	DET	29	det
28	Cat	NOUN	29	compound
29	Holocaust	NOUN	23	obl
30	.	PUNCT	8	punct