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 good news is that all of this is temporary, because the evolution of international law has always adapted itself to reality.
Postion	Tokenization
1	The
2	good
3	news
4	is
5	that
6	all
7	of
8	this
9	is
10	temporary
11	,
12	because
13	the
14	evolution
15	of
16	international
17	law
18	has
19	always
20	adapted
21	itself
22	to
23	reality
24	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	3	det
2	good	ADJ	3	amod
3	news	NOUN	4	nsubj
4	is	VERB	0	root
5	that	SCONJ	10	mark
6	all	DET	10	nsubj
7	of	ADP	8	case
8	this	PRON	6	nmod
9	is	AUX	10	cop
10	temporary	ADJ	4	ccomp
11	,	PUNCT	10	punct
12	because	SCONJ	20	mark
13	the	DET	14	det
14	evolution	NOUN	20	nsubj
15	of	ADP	17	case
16	international	ADJ	17	amod
17	law	NOUN	14	nmod
18	has	AUX	20	aux
19	always	ADV	20	advmod
20	adapted	VERB	10	advcl
21	itself	PRON	20	obj
22	to	ADP	23	case
23	reality	NOUN	20	obl
24	.	PUNCT	4	punct