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:
Hondo pesar causó la muerte de Peter Dubovsky, que a pesar de no ser español, ni siquiera de haber muerto en España, fue aquí donde desarrolló su carrera deportiva.
Postion	Tokenization
1	Hondo
2	pesar
3	causó
4	la
5	muerte
6	de
7	Peter
8	Dubovsky
9	,
10	que
11	a
12	pesar
13	de
14	no
15	ser
16	español
17	,
18	ni
19	siquiera
20	de
21	haber
22	muerto
23	en
24	España
25	,
26	fue
27	aquí
28	donde
29	desarrolló
30	su
31	carrera
32	deportiva
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Hondo	ADJ	2	amod
2	pesar	NOUN	3	obj
3	causó	VERB	0	root
4	la	DET	5	det
5	muerte	NOUN	3	nsubj
6	de	ADP	7	case
7	Peter	PROPN	5	nmod
8	Dubovsky	PROPN	7	flat
9	,	PUNCT	27	punct
10	que	PRON	27	nsubj
11	a	ADP	16	mark
12	pesar	NOUN	11	fixed
13	de	ADP	11	fixed
14	no	ADV	16	advmod
15	ser	AUX	16	cop
16	español	ADJ	27	advcl
17	,	PUNCT	18	punct
18	ni	CCONJ	16	conj
19	siquiera	NOUN	18	fixed
20	de	ADP	18	case
21	haber	AUX	22	aux
22	muerto	VERB	18	acl
23	en	ADP	24	case
24	España	PROPN	22	obl
25	,	PUNCT	16	punct
26	fue	AUX	27	cop
27	aquí	ADV	7	acl
28	donde	PRON	29	obl
29	desarrolló	VERB	27	csubj
30	su	DET	31	det
31	carrera	NOUN	29	obj
32	deportiva	ADJ	31	amod
33	.	PUNCT	3	punct