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 finlandés se pararía por segunda y última vez en la vuelta 44, con lo que cedía el primer puesto a Michael Schumacher, que comenzaría a tirar como un loco, para sacar la mayor ventaja posible, antes de que le llegara su turno.
Postion	Tokenization
1	El
2	finlandés
3	se
4	pararía
5	por
6	segunda
7	y
8	última
9	vez
10	en
11	la
12	vuelta
13	44
14	,
15	con
16	lo
17	que
18	cedía
19	el
20	primer
21	puesto
22	a
23	Michael
24	Schumacher
25	,
26	que
27	comenzaría
28	a
29	tirar
30	como
31	un
32	loco
33	,
34	para
35	sacar
36	la
37	mayor
38	ventaja
39	posible
40	,
41	antes
42	de
43	que
44	le
45	llegara
46	su
47	turno
48	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	finlandés	NOUN	4	nsubj
3	se	PRON	4	expl:pv
4	pararía	VERB	0	root
5	por	ADP	9	case
6	segunda	ADJ	9	amod
7	y	CCONJ	8	cc
8	última	ADJ	6	conj
9	vez	NOUN	4	obl
10	en	ADP	12	case
11	la	DET	12	det
12	vuelta	NOUN	4	obl
13	44	NUM	12	nummod
14	,	PUNCT	18	punct
15	con	ADP	18	mark
16	lo	PRON	18	det
17	que	PRON	18	obl
18	cedía	VERB	4	advcl
19	el	DET	21	det
20	primer	ADJ	21	amod
21	puesto	NOUN	18	obj
22	a	ADP	23	case
23	Michael	PROPN	18	obj
24	Schumacher	PROPN	23	flat
25	,	PUNCT	27	punct
26	que	PRON	27	nsubj
27	comenzaría	VERB	23	acl
28	a	ADP	29	mark
29	tirar	VERB	27	xcomp
30	como	SCONJ	32	mark
31	un	DET	32	det
32	loco	NOUN	27	obl
33	,	PUNCT	35	punct
34	para	ADP	35	mark
35	sacar	VERB	29	advcl
36	la	DET	38	det
37	mayor	ADJ	38	amod
38	ventaja	NOUN	35	obj
39	posible	ADJ	38	amod
40	,	PUNCT	41	punct
41	antes	ADV	35	advmod
42	de	ADP	45	mark
43	que	SCONJ	45	mark
44	le	PRON	45	obj
45	llegara	VERB	41	advcl
46	su	DET	47	det
47	turno	NOUN	45	nsubj
48	.	PUNCT	4	punct