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:
El alemán Michael Schumacher (Ferrari F1-2000) ha logrado su tercera victoria consecutiva de la temporada, en tres carreras, esta vez con el finlandés Mika Hakkinen (McLaren MP4/15 Mercedes) en pista al que le ha superado por un segundo y una décima, al imponerse esta tarde en el Gran Premio de San Marino, disputado en un abarrotado Autódromo Enzo y Dino Ferrari de Imola.
Postion	Tokenization
1	El
2	alemán
3	Michael
4	Schumacher
5	(
6	Ferrari
7	F1-2000
8	)
9	ha
10	logrado
11	su
12	tercera
13	victoria
14	consecutiva
15	de
16	la
17	temporada
18	,
19	en
20	tres
21	carreras
22	,
23	esta
24	vez
25	con
26	el
27	finlandés
28	Mika
29	Hakkinen
30	(
31	McLaren
32	MP4/15
33	Mercedes
34	)
35	en
36	pista
37	al
38	que
39	le
40	ha
41	superado
42	por
43	un
44	segundo
45	y
46	una
47	décima
48	,
49	al
50	imponerse
51	imponer
52	se
53	esta
54	tarde
55	en
56	el
57	Gran
58	Premio
59	de
60	San
61	Marino
62	,
63	disputado
64	en
65	un
66	abarrotado
67	Autódromo
68	Enzo
69	y
70	Dino
71	Ferrari
72	de
73	Imola
74	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	alemán	NOUN	10	nsubj
3	Michael	PROPN	2	appos
4	Schumacher	PROPN	3	flat
5	(	PUNCT	6	punct
6	Ferrari	PROPN	2	appos
7	F1-2000	PROPN	6	flat
8	)	PUNCT	6	punct
9	ha	AUX	10	aux
10	logrado	VERB	0	root
11	su	DET	13	det
12	tercera	ADJ	13	amod
13	victoria	NOUN	10	obj
14	consecutiva	ADJ	13	amod
15	de	ADP	17	case
16	la	DET	17	det
17	temporada	NOUN	13	nmod
18	,	PUNCT	21	punct
19	en	ADP	21	case
20	tres	NUM	21	nummod
21	carreras	NOUN	10	obl
22	,	PUNCT	24	punct
23	esta	DET	24	det
24	vez	NOUN	10	obl
25	con	ADP	24	case
26	el	DET	27	det
27	finlandés	NOUN	24	nmod
28	Mika	PROPN	27	appos
29	Hakkinen	PROPN	28	flat
30	(	PUNCT	31	punct
31	McLaren	PROPN	27	appos
32	MP4/15	PROPN	31	flat
33	Mercedes	PROPN	31	flat
34	)	PUNCT	31	punct
35	en	ADP	36	case
36	pista	NOUN	27	nmod
37	al	ADP	38	case
38	que	PRON	41	obj
39	le	PRON	41	obj
40	ha	AUX	41	aux
41	superado	VERB	27	acl
42	por	ADP	44	case
43	un	DET	44	det
44	segundo	NOUN	41	obl
45	y	CCONJ	47	cc
46	una	DET	47	det
47	décima	NOUN	44	conj
48	,	PUNCT	50	punct
49	al	ADP	50	mark
50	imponerse	_	None	_
51	imponer	VERB	41	advcl
52	se	PRON	50	expl:pv
53	esta	DET	53	det
54	tarde	NOUN	50	obl
55	en	ADP	56	case
56	el	DET	56	det
57	Gran	ADJ	50	obl
58	Premio	PROPN	56	flat
59	de	ADP	59	case
60	San	PROPN	56	flat
61	Marino	PROPN	56	flat
62	,	PUNCT	62	punct
63	disputado	ADJ	56	amod
64	en	ADP	66	case
65	un	DET	66	det
66	abarrotado	ADJ	66	amod
67	Autódromo	PROPN	62	obl
68	Enzo	PROPN	66	flat
69	y	CCONJ	69	cc
70	Dino	PROPN	66	conj
71	Ferrari	PROPN	69	flat
72	de	ADP	72	case
73	Imola	PROPN	66	nmod
74	.	PUNCT	10	punct