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:
Nolan Richardson, un hombre de apariencia ruda pero aguda inteligencia y con una historia familiar de sufrimiento que ha suscitado el respeto general, podría ser el segundo entrenador de color, tras John Thompson (Georgetown) que gana el título nacional.
Postion	Tokenization
1	Nolan
2	Richardson
3	,
4	un
5	hombre
6	de
7	apariencia
8	ruda
9	pero
10	aguda
11	inteligencia
12	y
13	con
14	una
15	historia
16	familiar
17	de
18	sufrimiento
19	que
20	ha
21	suscitado
22	el
23	respeto
24	general
25	,
26	podría
27	ser
28	el
29	segundo
30	entrenador
31	de
32	color
33	,
34	tras
35	John
36	Thompson
37	(
38	Georgetown
39	)
40	que
41	gana
42	el
43	título
44	nacional
45	.
Position	Tokenization	UPOS	Head	Deprel
1	Nolan	PROPN	30	nsubj
2	Richardson	PROPN	1	flat
3	,	PUNCT	5	punct
4	un	DET	5	det
5	hombre	NOUN	1	appos
6	de	ADP	7	case
7	apariencia	NOUN	5	nmod
8	ruda	ADJ	7	amod
9	pero	CCONJ	11	cc
10	aguda	ADJ	11	amod
11	inteligencia	NOUN	7	conj
12	y	CCONJ	15	cc
13	con	ADP	15	case
14	una	DET	15	det
15	historia	NOUN	7	conj
16	familiar	ADJ	15	amod
17	de	ADP	18	case
18	sufrimiento	NOUN	15	nmod
19	que	PRON	21	nsubj
20	ha	AUX	21	aux
21	suscitado	VERB	15	acl
22	el	DET	23	det
23	respeto	NOUN	21	obj
24	general	ADJ	23	amod
25	,	PUNCT	5	punct
26	podría	AUX	30	aux
27	ser	AUX	30	cop
28	el	DET	30	det
29	segundo	ADJ	30	amod
30	entrenador	NOUN	0	root
31	de	ADP	32	case
32	color	NOUN	30	nmod
33	,	PUNCT	35	punct
34	tras	ADP	35	case
35	John	PROPN	30	nmod
36	Thompson	PROPN	35	flat
37	(	PUNCT	38	punct
38	Georgetown	PROPN	35	flat
39	)	PUNCT	38	punct
40	que	PRON	41	nsubj
41	gana	VERB	30	acl
42	el	DET	43	det
43	título	NOUN	41	obj
44	nacional	ADJ	43	amod
45	.	PUNCT	30	punct