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 piloto barcelonés de Honda, compañero de equipo de Alex Crivillé, campeón del mundo de 500cc, fue operado ayer en el Instituto Universitario Dexeus de Barcelona de una luxación en el hombro izquierdo tras una caída en los ensayos de Jerez.
Postion	Tokenization
1	El
2	piloto
3	barcelonés
4	de
5	Honda
6	,
7	compañero
8	de
9	equipo
10	de
11	Alex
12	Crivillé
13	,
14	campeón
15	del
16	mundo
17	de
18	500cc
19	,
20	fue
21	operado
22	ayer
23	en
24	el
25	Instituto
26	Universitario
27	Dexeus
28	de
29	Barcelona
30	de
31	una
32	luxación
33	en
34	el
35	hombro
36	izquierdo
37	tras
38	una
39	caída
40	en
41	los
42	ensayos
43	de
44	Jerez
45	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	piloto	NOUN	21	nsubj
3	barcelonés	ADJ	2	amod
4	de	ADP	5	case
5	Honda	PROPN	2	nmod
6	,	PUNCT	7	punct
7	compañero	NOUN	2	appos
8	de	ADP	9	case
9	equipo	NOUN	7	nmod
10	de	ADP	11	case
11	Alex	PROPN	7	nmod
12	Crivillé	PROPN	11	flat
13	,	PUNCT	14	punct
14	campeón	NOUN	11	appos
15	del	ADP	16	case
16	mundo	NOUN	14	nmod
17	de	ADP	18	case
18	500cc	NUM	14	nummod
19	,	PUNCT	7	punct
20	fue	AUX	21	aux
21	operado	VERB	0	root
22	ayer	ADV	21	advmod
23	en	ADP	25	case
24	el	DET	25	det
25	Instituto	PROPN	21	obl
26	Universitario	PROPN	25	flat
27	Dexeus	PROPN	25	flat
28	de	ADP	29	case
29	Barcelona	PROPN	25	flat
30	de	ADP	32	case
31	una	DET	32	det
32	luxación	NOUN	21	obl
33	en	ADP	35	case
34	el	DET	35	det
35	hombro	NOUN	32	nmod
36	izquierdo	ADJ	35	amod
37	tras	ADP	39	case
38	una	DET	39	det
39	caída	NOUN	32	nmod
40	en	ADP	42	case
41	los	DET	42	det
42	ensayos	NOUN	39	nmod
43	de	ADP	44	case
44	Jerez	PROPN	42	nmod
45	.	PUNCT	21	punct