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 text: There is a classical logical fallacy, post hoc ergo propter hoc (Z happens after X, therefore Z is caused by X), and I keep revising this posting this evening because I don't want to fall into it.
Position	Tokenization	UPOS	Head	Deprel
1	There	PRON	2	expl
2	is	VERB	0	root
3	a	DET	6	det
4	classical	ADJ	6	amod
5	logical	ADJ	6	amod
6	fallacy	NOUN	2	nsubj
7	,	PUNCT	6	punct
8	post	X	6	appos
9	hoc	X	8	flat:foreign
10	ergo	X	8	flat:foreign
11	propter	X	8	flat:foreign
12	hoc	X	8	flat:foreign
13	(	PUNCT	15	punct
14	Z	NOUN	15	nsubj
15	happens	VERB	12	parataxis
16	after	ADP	17	case
17	X	NOUN	15	obl
18	,	PUNCT	15	punct
19	therefore	ADV	22	advmod
20	Z	NOUN	22	nsubj:pass
21	is	AUX	22	aux:pass
22	caused	VERB	15	parataxis
23	by	ADP	24	case
24	X	NOUN	22	obl
25	)	PUNCT	15	punct
26	,	PUNCT	29	punct
27	and	CCONJ	29	cc
28	I	PRON	29	nsubj
29	keep	VERB	2	conj
30	revising	VERB	29	xcomp
31	this	DET	32	det
32	posting	NOUN	30	obj
33	this	DET	34	det
34	evening	NOUN	30	obl:tmod
35	because	SCONJ	39	mark
36	I	PRON	39	nsubj
37	don't	_	None	_
38	do	AUX	39	aux
39	n't	PART	39	advmod
40	want	VERB	30	advcl
41	to	PART	41	mark
42	fall	VERB	39	xcomp
43	into	ADP	43	case
44	it	PRON	41	obl
45	.	PUNCT	2	punct