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:
And not to belittle the process of creating the standards, the tough part (and the real meat behind this) will be an effective exception report on a global basis against these standards.
Postion	Tokenization
1	And
2	not
3	to
4	belittle
5	the
6	process
7	of
8	creating
9	the
10	standards
11	,
12	the
13	tough
14	part
15	(
16	and
17	the
18	real
19	meat
20	behind
21	this
22	)
23	will
24	be
25	an
26	effective
27	exception
28	report
29	on
30	a
31	global
32	basis
33	against
34	these
35	standards
36	.
Position	Tokenization	UPOS	Head	Deprel
1	And	CCONJ	28	cc
2	not	ADV	4	advmod
3	to	PART	4	mark
4	belittle	VERB	28	advcl
5	the	DET	6	det
6	process	NOUN	4	obj
7	of	SCONJ	8	mark
8	creating	VERB	6	acl
9	the	DET	10	det
10	standards	NOUN	8	obj
11	,	PUNCT	28	punct
12	the	DET	14	det
13	tough	ADJ	14	amod
14	part	NOUN	28	nsubj
15	(	PUNCT	14	punct
16	and	CCONJ	19	cc
17	the	DET	19	det
18	real	ADJ	19	amod
19	meat	NOUN	14	conj
20	behind	ADP	21	case
21	this	PRON	19	nmod
22	)	PUNCT	14	punct
23	will	AUX	28	aux
24	be	AUX	28	cop
25	an	DET	28	det
26	effective	ADJ	28	amod
27	exception	NOUN	28	compound
28	report	NOUN	0	root
29	on	ADP	32	case
30	a	DET	32	det
31	global	ADJ	32	amod
32	basis	NOUN	28	nmod
33	against	ADP	35	case
34	these	DET	35	det
35	standards	NOUN	28	nmod
36	.	PUNCT	28	punct