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:
De la Rosa sí estuvo la semana pasada probando en este circuito, pero el accidente que sufrió su compañero de equipo en la primera jornada, el holandés Jos Verstappen, trastocó todos los planes del equipo Arrows, que tuvo que mandar un coche nuevo desde Inglaterra.
Postion	Tokenization
1	De
2	la
3	Rosa
4	sí
5	estuvo
6	la
7	semana
8	pasada
9	probando
10	en
11	este
12	circuito
13	,
14	pero
15	el
16	accidente
17	que
18	sufrió
19	su
20	compañero
21	de
22	equipo
23	en
24	la
25	primera
26	jornada
27	,
28	el
29	holandés
30	Jos
31	Verstappen
32	,
33	trastocó
34	todos
35	los
36	planes
37	del
38	equipo
39	Arrows
40	,
41	que
42	tuvo
43	que
44	mandar
45	un
46	coche
47	nuevo
48	desde
49	Inglaterra
50	.
Position	Tokenization	UPOS	Head	Deprel
1	De	ADP	3	case
2	la	DET	3	det
3	Rosa	PROPN	5	nsubj
4	sí	INTJ	5	advcl
5	estuvo	VERB	0	root
6	la	DET	7	det
7	semana	NOUN	5	obl
8	pasada	ADJ	7	amod
9	probando	VERB	5	ccomp
10	en	ADP	12	case
11	este	DET	12	det
12	circuito	NOUN	9	obl
13	,	PUNCT	33	punct
14	pero	CCONJ	33	cc
15	el	DET	16	det
16	accidente	NOUN	33	nsubj
17	que	PRON	18	obj
18	sufrió	VERB	16	acl
19	su	DET	20	det
20	compañero	NOUN	18	nsubj
21	de	ADP	22	case
22	equipo	NOUN	20	nmod
23	en	ADP	26	case
24	la	DET	26	det
25	primera	ADJ	26	amod
26	jornada	NOUN	18	obl
27	,	PUNCT	29	punct
28	el	DET	29	det
29	holandés	NOUN	18	obj
30	Jos	PROPN	29	appos
31	Verstappen	PROPN	30	flat
32	,	PUNCT	29	punct
33	trastocó	VERB	5	conj
34	todos	DET	35	det
35	los	DET	36	det
36	planes	NOUN	33	obj
37	del	ADP	38	case
38	equipo	NOUN	36	nmod
39	Arrows	PROPN	38	appos
40	,	PUNCT	42	punct
41	que	PRON	44	nsubj
42	tuvo	VERB	38	acl
43	que	SCONJ	44	cc
44	mandar	VERB	42	conj
45	un	DET	46	det
46	coche	NOUN	44	obj
47	nuevo	ADJ	46	amod
48	desde	ADP	49	case
49	Inglaterra	PROPN	44	obl
50	.	PUNCT	5	punct