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:
Sólo 1.500 de los 15.000 afectados por la suspensión del servicio del catamarán Turbocat lograron ayer recuperar el importe de los pasajes que ya habían pagado.
Postion	Tokenization
1	Sólo
2	1.500
3	de
4	los
5	15.000
6	afectados
7	por
8	la
9	suspensión
10	del
11	servicio
12	del
13	catamarán
14	Turbocat
15	lograron
16	ayer
17	recuperar
18	el
19	importe
20	de
21	los
22	pasajes
23	que
24	ya
25	habían
26	pagado
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Sólo	ADV	2	advmod
2	1.500	NUM	15	nsubj
3	de	ADP	6	case
4	los	DET	5	det
5	15.000	NUM	6	nummod
6	afectados	ADJ	2	amod
7	por	ADP	9	case
8	la	DET	9	det
9	suspensión	NOUN	6	obl
10	del	ADP	11	case
11	servicio	NOUN	9	nmod
12	del	ADP	13	case
13	catamarán	NOUN	11	nmod
14	Turbocat	PROPN	13	appos
15	lograron	VERB	0	root
16	ayer	ADV	15	advmod
17	recuperar	VERB	15	xcomp
18	el	DET	19	det
19	importe	NOUN	17	obj
20	de	ADP	22	case
21	los	DET	22	det
22	pasajes	NOUN	19	nmod
23	que	PRON	26	obj
24	ya	ADV	26	advmod
25	habían	AUX	26	aux
26	pagado	VERB	22	acl
27	.	PUNCT	15	punct