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:
Ante el Córdoba Rafa espera que el Compostela sume un triunfo que le permita "empezar a rodar otra vez como al principio de temporada.
Postion	Tokenization
1	Ante
2	el
3	Córdoba
4	Rafa
5	espera
6	que
7	el
8	Compostela
9	sume
10	un
11	triunfo
12	que
13	le
14	permita
15	"
16	empezar
17	a
18	rodar
19	otra
20	vez
21	como
22	al
23	principio
24	de
25	temporada
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Ante	ADP	3	case
2	el	DET	3	det
3	Córdoba	PROPN	5	obl
4	Rafa	PROPN	5	nsubj
5	espera	VERB	0	root
6	que	SCONJ	9	mark
7	el	DET	8	det
8	Compostela	PROPN	9	nsubj
9	sume	VERB	5	ccomp
10	un	DET	11	det
11	triunfo	NOUN	9	obj
12	que	PRON	14	nsubj
13	le	PRON	14	obj
14	permita	VERB	11	acl
15	"	PUNCT	16	punct
16	empezar	VERB	14	xcomp
17	a	ADP	18	mark
18	rodar	VERB	16	xcomp
19	otra	DET	20	det
20	vez	NOUN	18	obl
21	como	SCONJ	23	mark
22	al	ADP	23	case
23	principio	NOUN	18	obj
24	de	ADP	25	case
25	temporada	NOUN	23	nmod
26	.	PUNCT	5	punct