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:
Richard Henry Blood, mieux connu sous le nom de Ricky "The Dragon" Steamboat, est un ancien catcheur américain né le 28 février 1953 à West Point.
Postion	Tokenization
1	Richard
2	Henry
3	Blood
4	,
5	mieux
6	connu
7	sous
8	le
9	nom
10	de
11	Ricky
12	"
13	The
14	Dragon
15	"
16	Steamboat
17	,
18	est
19	un
20	ancien
21	catcheur
22	américain
23	né
24	le
25	28
26	février
27	1953
28	à
29	West
30	Point
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Richard	PROPN	21	nsubj
2	Henry	PROPN	1	flat:name
3	Blood	PROPN	2	flat:name
4	,	PUNCT	6	punct
5	mieux	ADV	6	advmod
6	connu	VERB	1	acl
7	sous	ADP	9	case
8	le	DET	9	det
9	nom	NOUN	6	obl:mod
10	de	ADP	11	case
11	Ricky	PROPN	9	nmod
12	"	PUNCT	13	punct
13	The	X	11	appos
14	Dragon	X	13	flat:foreign
15	"	PUNCT	14	punct
16	Steamboat	X	14	flat:foreign
17	,	PUNCT	6	punct
18	est	AUX	21	cop
19	un	DET	21	det
20	ancien	ADJ	21	amod
21	catcheur	NOUN	0	root
22	américain	ADJ	21	amod
23	né	VERB	21	acl
24	le	DET	25	det
25	28	NUM	23	obl:arg
26	février	NOUN	25	nmod
27	1953	NUM	26	nmod
28	à	ADP	29	case
29	West	PROPN	23	obl:arg
30	Point	PROPN	29	flat:name
31	.	PUNCT	21	punct