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 equipo de Aíto pondrá a prueba su liderato ante un rival que se ha recuperado con el regreso del técnico Pepu Hernández en lugar del destituido Carlos Sainz de Aja.
Postion	Tokenization
1	El
2	equipo
3	de
4	Aíto
5	pondrá
6	a
7	prueba
8	su
9	liderato
10	ante
11	un
12	rival
13	que
14	se
15	ha
16	recuperado
17	con
18	el
19	regreso
20	del
21	técnico
22	Pepu
23	Hernández
24	en
25	lugar
26	del
27	destituido
28	Carlos
29	Sainz
30	de
31	Aja
32	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	equipo	NOUN	5	nsubj
3	de	ADP	4	case
4	Aíto	PROPN	2	nmod
5	pondrá	VERB	0	root
6	a	ADP	5	advmod
7	prueba	NOUN	6	fixed
8	su	DET	9	det
9	liderato	NOUN	5	obj
10	ante	ADP	12	case
11	un	DET	12	det
12	rival	NOUN	5	obl
13	que	PRON	16	nsubj
14	se	PRON	16	expl:pv
15	ha	AUX	16	aux
16	recuperado	VERB	12	acl
17	con	ADP	19	case
18	el	DET	19	det
19	regreso	NOUN	16	obl
20	del	ADP	21	case
21	técnico	NOUN	19	nmod
22	Pepu	PROPN	21	appos
23	Hernández	PROPN	22	flat
24	en	ADP	27	case
25	lugar	NOUN	24	fixed
26	del	ADP	24	fixed
27	destituido	ADJ	21	amod
28	Carlos	PROPN	27	obj
29	Sainz	PROPN	28	flat
30	de	ADP	31	case
31	Aja	PROPN	28	flat
32	.	PUNCT	5	punct