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:
Hakkinen, que había sumado dos abandonos en las dos primeras carreras, se situó en primera posición al darse la salida y fue seguido como su sombra, aunque hoy el cielo estaba cubierto a diferencia de los días anteriores, por Michael Schumacher y ventaja no superaría nunca los cinco segundos.
Postion	Tokenization
1	Hakkinen
2	,
3	que
4	había
5	sumado
6	dos
7	abandonos
8	en
9	las
10	dos
11	primeras
12	carreras
13	,
14	se
15	situó
16	en
17	primera
18	posición
19	al
20	darse
21	dar
22	se
23	la
24	salida
25	y
26	fue
27	seguido
28	como
29	su
30	sombra
31	,
32	aunque
33	hoy
34	el
35	cielo
36	estaba
37	cubierto
38	a
39	diferencia
40	de
41	los
42	días
43	anteriores
44	,
45	por
46	Michael
47	Schumacher
48	y
49	ventaja
50	no
51	superaría
52	nunca
53	los
54	cinco
55	segundos
56	.
Position	Tokenization	UPOS	Head	Deprel
1	Hakkinen	PROPN	15	nsubj
2	,	PUNCT	5	punct
3	que	PRON	5	nsubj
4	había	AUX	5	aux
5	sumado	VERB	1	acl
6	dos	NUM	7	nummod
7	abandonos	NOUN	5	obj
8	en	ADP	12	case
9	las	DET	12	det
10	dos	NUM	9	nummod
11	primeras	ADJ	12	amod
12	carreras	NOUN	5	obl
13	,	PUNCT	5	punct
14	se	PRON	15	expl:pv
15	situó	VERB	0	root
16	en	ADP	18	case
17	primera	ADJ	18	amod
18	posición	NOUN	15	obl
19	al	ADP	20	mark
20	darse	_	None	_
21	dar	VERB	15	advcl
22	se	PRON	20	expl:pass
23	la	DET	23	det
24	salida	NOUN	20	nsubj
25	y	CCONJ	26	cc
26	fue	AUX	26	aux
27	seguido	VERB	15	conj
28	como	SCONJ	29	mark
29	su	DET	29	det
30	sombra	NOUN	26	obl
31	,	PUNCT	36	punct
32	aunque	SCONJ	36	mark
33	hoy	ADV	36	advmod
34	el	DET	34	det
35	cielo	NOUN	36	nsubj
36	estaba	AUX	36	cop
37	cubierto	ADJ	26	advcl
38	a	ADP	41	case
39	diferencia	NOUN	37	fixed
40	de	ADP	37	fixed
41	los	DET	41	det
42	días	NOUN	36	obl
43	anteriores	ADJ	41	amod
44	,	PUNCT	36	punct
45	por	ADP	45	case
46	Michael	PROPN	26	obj
47	Schumacher	PROPN	45	flat
48	y	CCONJ	50	cc
49	ventaja	NOUN	50	nsubj
50	no	ADV	50	advmod
51	superaría	VERB	15	conj
52	nunca	ADV	50	advmod
53	los	DET	54	det
54	cinco	NUM	52	nummod
55	segundos	NOUN	50	obj
56	.	PUNCT	15	punct