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:
Marc Gené, que había logrado el séptimo mejor tiempo en los entrenamientos libres de la mañana, había realizado una buena salida en la que había ganado tres posiciones, pero tuvo la desgracia de que Jenson Button rompió el motor de su coche justo delante suyo, no pudo evitar pisar el aceite derramado en la pista y terminó atrapado en el banco de arena de la variante del Tambuerello.
Postion	Tokenization
1	Marc
2	Gené
3	,
4	que
5	había
6	logrado
7	el
8	séptimo
9	mejor
10	tiempo
11	en
12	los
13	entrenamientos
14	libres
15	de
16	la
17	mañana
18	,
19	había
20	realizado
21	una
22	buena
23	salida
24	en
25	la
26	que
27	había
28	ganado
29	tres
30	posiciones
31	,
32	pero
33	tuvo
34	la
35	desgracia
36	de
37	que
38	Jenson
39	Button
40	rompió
41	el
42	motor
43	de
44	su
45	coche
46	justo
47	delante
48	suyo
49	,
50	no
51	pudo
52	evitar
53	pisar
54	el
55	aceite
56	derramado
57	en
58	la
59	pista
60	y
61	terminó
62	atrapado
63	en
64	el
65	banco
66	de
67	arena
68	de
69	la
70	variante
71	del
72	Tambuerello
73	.
Position	Tokenization	UPOS	Head	Deprel
1	Marc	PROPN	20	nsubj
2	Gené	PROPN	1	flat
3	,	PUNCT	6	punct
4	que	PRON	6	nsubj
5	había	AUX	6	aux
6	logrado	VERB	1	acl
7	el	DET	10	det
8	séptimo	ADJ	10	amod
9	mejor	ADJ	10	amod
10	tiempo	NOUN	6	obj
11	en	ADP	13	case
12	los	DET	13	det
13	entrenamientos	NOUN	6	obl
14	libres	ADJ	13	amod
15	de	ADP	17	case
16	la	DET	17	det
17	mañana	NOUN	13	nmod
18	,	PUNCT	6	punct
19	había	AUX	20	aux
20	realizado	VERB	0	root
21	una	DET	23	det
22	buena	ADJ	23	amod
23	salida	NOUN	20	obj
24	en	ADP	26	case
25	la	DET	26	det
26	que	PRON	28	obl
27	había	AUX	28	aux
28	ganado	VERB	23	acl
29	tres	NUM	30	nummod
30	posiciones	NOUN	28	obj
31	,	PUNCT	33	punct
32	pero	CCONJ	33	cc
33	tuvo	VERB	20	conj
34	la	DET	35	det
35	desgracia	NOUN	33	obj
36	de	ADP	40	mark
37	que	SCONJ	40	mark
38	Jenson	PROPN	40	nsubj
39	Button	PROPN	38	flat
40	rompió	VERB	35	acl
41	el	DET	42	det
42	motor	NOUN	40	obj
43	de	ADP	45	case
44	su	DET	45	det
45	coche	NOUN	42	nmod
46	justo	ADV	47	advmod
47	delante	ADV	40	advmod
48	suyo	PRON	47	obl
49	,	PUNCT	52	punct
50	no	ADV	52	advmod
51	pudo	AUX	52	aux
52	evitar	VERB	40	advcl
53	pisar	VERB	52	xcomp
54	el	DET	55	det
55	aceite	NOUN	53	obj
56	derramado	ADJ	55	amod
57	en	ADP	59	case
58	la	DET	59	det
59	pista	NOUN	56	obl
60	y	CCONJ	61	cc
61	terminó	VERB	40	conj
62	atrapado	ADJ	61	obj
63	en	ADP	65	case
64	el	DET	65	det
65	banco	NOUN	62	obl
66	de	ADP	67	case
67	arena	NOUN	65	nmod
68	de	ADP	70	case
69	la	DET	70	det
70	variante	NOUN	65	nmod
71	del	ADP	72	case
72	Tambuerello	PROPN	70	nmod
73	.	PUNCT	20	punct