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:
He demonstrates an excellent "Judicial Temperament," being courteous, mild-mannered, respectful of all people; careful in his work, meticulous in detail.
Postion	Tokenization
1	He
2	demonstrates
3	an
4	excellent
5	"
6	Judicial
7	Temperament
8	,
9	"
10	being
11	courteous
12	,
13	mild
14	-
15	mannered
16	,
17	respectful
18	of
19	all
20	people
21	;
22	careful
23	in
24	his
25	work
26	,
27	meticulous
28	in
29	detail
30	.
Position	Tokenization	UPOS	Head	Deprel
1	He	PRON	2	nsubj
2	demonstrates	VERB	0	root
3	an	DET	7	det
4	excellent	ADJ	7	amod
5	"	PUNCT	7	punct
6	Judicial	ADJ	7	amod
7	Temperament	NOUN	2	obj
8	,	PUNCT	2	punct
9	"	PUNCT	2	punct
10	being	AUX	11	cop
11	courteous	ADJ	2	advcl
12	,	PUNCT	15	punct
13	mild	ADJ	15	amod
14	-	PUNCT	15	punct
15	mannered	ADJ	11	conj
16	,	PUNCT	17	punct
17	respectful	ADJ	11	conj
18	of	ADP	20	case
19	all	DET	20	det
20	people	NOUN	17	obl
21	;	PUNCT	11	punct
22	careful	ADJ	11	conj
23	in	ADP	25	case
24	his	PRON	25	nmod:poss
25	work	NOUN	22	obl
26	,	PUNCT	27	punct
27	meticulous	ADJ	11	conj
28	in	ADP	29	case
29	detail	NOUN	27	obl
30	.	PUNCT	2	punct