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:
Un problema con el diseño no puede ser el responsable del retraso en la renovación de los paneles informativos con la nueva distribución de las terminales del aeropuerto de El Prat.
Postion	Tokenization
1	Un
2	problema
3	con
4	el
5	diseño
6	no
7	puede
8	ser
9	el
10	responsable
11	del
12	retraso
13	en
14	la
15	renovación
16	de
17	los
18	paneles
19	informativos
20	con
21	la
22	nueva
23	distribución
24	de
25	las
26	terminales
27	del
28	aeropuerto
29	de
30	El
31	Prat
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Un	DET	2	det
2	problema	NOUN	10	nsubj
3	con	ADP	5	case
4	el	DET	5	det
5	diseño	NOUN	2	nmod
6	no	ADV	10	advmod
7	puede	AUX	10	aux
8	ser	AUX	10	cop
9	el	DET	10	det
10	responsable	NOUN	0	root
11	del	ADP	12	case
12	retraso	NOUN	10	nmod
13	en	ADP	15	case
14	la	DET	15	det
15	renovación	NOUN	12	nmod
16	de	ADP	18	case
17	los	DET	18	det
18	paneles	NOUN	15	nmod
19	informativos	ADJ	18	amod
20	con	ADP	23	case
21	la	DET	23	det
22	nueva	ADJ	23	amod
23	distribución	NOUN	18	nmod
24	de	ADP	26	case
25	las	DET	26	det
26	terminales	NOUN	18	nmod
27	del	ADP	28	case
28	aeropuerto	NOUN	26	nmod
29	de	ADP	31	case
30	El	DET	31	det
31	Prat	PROPN	28	nmod
32	.	PUNCT	10	punct