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:
Los jinetes de Doma Clásica que vayan a competir en Australia llevaran sólo su mejor caballo, pues transportar más de uno es impensable por su alto coste económico.
Postion	Tokenization
1	Los
2	jinetes
3	de
4	Doma
5	Clásica
6	que
7	vayan
8	a
9	competir
10	en
11	Australia
12	llevaran
13	sólo
14	su
15	mejor
16	caballo
17	,
18	pues
19	transportar
20	más
21	de
22	uno
23	es
24	impensable
25	por
26	su
27	alto
28	coste
29	económico
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	jinetes	NOUN	12	nsubj
3	de	ADP	4	case
4	Doma	PROPN	2	nmod
5	Clásica	PROPN	4	flat
6	que	PRON	9	nsubj
7	vayan	AUX	9	aux
8	a	ADP	9	mark
9	competir	VERB	2	acl
10	en	ADP	11	case
11	Australia	PROPN	9	obl
12	llevaran	VERB	0	root
13	sólo	ADV	12	advmod
14	su	DET	16	det
15	mejor	ADJ	16	amod
16	caballo	NOUN	12	obj
17	,	PUNCT	24	punct
18	pues	SCONJ	24	mark
19	transportar	VERB	24	csubj
20	más	ADV	22	advmod
21	de	ADP	20	case
22	uno	PRON	19	obj
23	es	AUX	24	cop
24	impensable	ADJ	12	advcl
25	por	ADP	28	case
26	su	DET	28	det
27	alto	ADJ	28	amod
28	coste	NOUN	24	nmod
29	económico	ADJ	28	amod
30	.	PUNCT	12	punct