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:
Probablemente, ésta hubiera sido aceptar sin ambages la superioridad del Arsenal y reconocer la falta de respuestas técnicas y tácticas que ofreció el Barça en una decepcionante Segunda mitad.
Postion	Tokenization
1	Probablemente
2	,
3	ésta
4	hubiera
5	sido
6	aceptar
7	sin
8	ambages
9	la
10	superioridad
11	del
12	Arsenal
13	y
14	reconocer
15	la
16	falta
17	de
18	respuestas
19	técnicas
20	y
21	tácticas
22	que
23	ofreció
24	el
25	Barça
26	en
27	una
28	decepcionante
29	Segunda
30	mitad
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Probablemente	ADV	5	advmod
2	,	PUNCT	1	punct
3	ésta	PRON	5	nsubj
4	hubiera	AUX	5	aux
5	sido	AUX	0	root
6	aceptar	VERB	5	ccomp
7	sin	ADP	6	advmod
8	ambages	NOUN	7	fixed
9	la	DET	10	det
10	superioridad	NOUN	6	obj
11	del	ADP	12	case
12	Arsenal	PROPN	10	nmod
13	y	CCONJ	14	cc
14	reconocer	VERB	6	conj
15	la	DET	16	det
16	falta	NOUN	14	obj
17	de	ADP	18	case
18	respuestas	NOUN	16	nmod
19	técnicas	ADJ	18	amod
20	y	CCONJ	21	cc
21	tácticas	ADJ	19	conj
22	que	PRON	23	obj
23	ofreció	VERB	16	acl
24	el	DET	25	det
25	Barça	PROPN	23	nsubj
26	en	ADP	30	case
27	una	DET	30	det
28	decepcionante	ADJ	30	amod
29	Segunda	ADJ	30	amod
30	mitad	NOUN	23	obl
31	.	PUNCT	5	punct