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:
Este barcelonés y dos amigos suyos, que habían llegado el pasado viernes a Ciutadella, no pudieron regresar el martes a causa de la avería y la anulación del servicio.
Postion	Tokenization
1	Este
2	barcelonés
3	y
4	dos
5	amigos
6	suyos
7	,
8	que
9	habían
10	llegado
11	el
12	pasado
13	viernes
14	a
15	Ciutadella
16	,
17	no
18	pudieron
19	regresar
20	el
21	martes
22	a
23	causa
24	de
25	la
26	avería
27	y
28	la
29	anulación
30	del
31	servicio
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Este	DET	2	det
2	barcelonés	NOUN	19	nsubj
3	y	CCONJ	5	cc
4	dos	NUM	5	nummod
5	amigos	NOUN	2	conj
6	suyos	DET	5	det
7	,	PUNCT	10	punct
8	que	PRON	10	nsubj
9	habían	AUX	10	aux
10	llegado	VERB	5	acl
11	el	DET	13	det
12	pasado	ADJ	13	amod
13	viernes	NOUN	10	obl
14	a	ADP	15	case
15	Ciutadella	PROPN	10	obl
16	,	PUNCT	10	punct
17	no	ADV	19	advmod
18	pudieron	AUX	19	aux
19	regresar	VERB	0	root
20	el	DET	21	det
21	martes	NOUN	19	obl
22	a	ADP	26	case
23	causa	NOUN	22	fixed
24	de	ADP	22	fixed
25	la	DET	26	det
26	avería	NOUN	19	obl
27	y	CCONJ	29	cc
28	la	DET	29	det
29	anulación	NOUN	26	conj
30	del	ADP	31	case
31	servicio	NOUN	29	nmod
32	.	PUNCT	19	punct