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:
Jesús Puras, del equipo Citroen Sport España, conducirá el Xsara con el que ganó el pasado año la carrera isleña.
Postion	Tokenization
1	Jesús
2	Puras
3	,
4	del
5	equipo
6	Citroen
7	Sport
8	España
9	,
10	conducirá
11	el
12	Xsara
13	con
14	el
15	que
16	ganó
17	el
18	pasado
19	año
20	la
21	carrera
22	isleña
23	.
Position	Tokenization	UPOS	Head	Deprel
1	Jesús	PROPN	10	nsubj
2	Puras	PROPN	1	flat
3	,	PUNCT	5	punct
4	del	ADP	5	case
5	equipo	NOUN	1	nmod
6	Citroen	PROPN	5	appos
7	Sport	PROPN	6	flat
8	España	PROPN	6	flat
9	,	PUNCT	5	punct
10	conducirá	VERB	0	root
11	el	DET	12	det
12	Xsara	PROPN	10	obj
13	con	ADP	15	case
14	el	DET	15	det
15	que	PRON	16	obl
16	ganó	VERB	12	acl
17	el	DET	19	det
18	pasado	ADJ	19	amod
19	año	NOUN	16	obl
20	la	DET	21	det
21	carrera	NOUN	16	obj
22	isleña	ADJ	21	amod
23	.	PUNCT	10	punct