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 servicio práctico y rápido o un servicio bonito y lento como el que teníamos años atrás, que llamaban La Jardinera para pasear por la ciudad?.
Postion	Tokenization
1	¿
2	Un
3	servicio
4	práctico
5	y
6	rápido
7	o
8	un
9	servicio
10	bonito
11	y
12	lento
13	como
14	el
15	que
16	teníamos
17	años
18	atrás
19	,
20	que
21	llamaban
22	La
23	Jardinera
24	para
25	pasear
26	por
27	la
28	ciudad
29	?
30	.
Position	Tokenization	UPOS	Head	Deprel
1	¿	PUNCT	3	punct
2	Un	DET	3	det
3	servicio	NOUN	0	root
4	práctico	ADJ	3	amod
5	y	CCONJ	6	cc
6	rápido	ADJ	4	conj
7	o	CCONJ	9	cc
8	un	DET	9	det
9	servicio	NOUN	3	conj
10	bonito	ADJ	9	amod
11	y	CCONJ	12	cc
12	lento	ADJ	10	conj
13	como	SCONJ	16	mark
14	el	DET	16	det
15	que	PRON	16	obj
16	teníamos	VERB	9	acl
17	años	NOUN	18	obl
18	atrás	ADV	16	advmod
19	,	PUNCT	21	punct
20	que	PRON	21	obj
21	llamaban	VERB	9	acl
22	La	DET	23	det
23	Jardinera	PROPN	21	obj
24	para	ADP	25	mark
25	pasear	VERB	3	acl
26	por	ADP	28	case
27	la	DET	28	det
28	ciudad	NOUN	25	obl
29	?	PUNCT	3	punct
30	.	PUNCT	3	punct