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:
Tanto ella como su marido esperan que se abra por fin una parada de metro en la parte baja de la nueva Diagonal y, sobre todo, que se construyan más aparcamientos para los vecinos.
Postion	Tokenization
1	Tanto
2	ella
3	como
4	su
5	marido
6	esperan
7	que
8	se
9	abra
10	por
11	fin
12	una
13	parada
14	de
15	metro
16	en
17	la
18	parte
19	baja
20	de
21	la
22	nueva
23	Diagonal
24	y
25	,
26	sobre
27	todo
28	,
29	que
30	se
31	construyan
32	más
33	aparcamientos
34	para
35	los
36	vecinos
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Tanto	ADV	2	cc
2	ella	PRON	6	nsubj
3	como	CCONJ	5	cc
4	su	DET	5	det
5	marido	NOUN	2	conj
6	esperan	VERB	0	root
7	que	SCONJ	9	mark
8	se	PRON	9	expl:pass
9	abra	VERB	6	ccomp
10	por	ADP	9	advmod
11	fin	NOUN	10	fixed
12	una	DET	13	det
13	parada	NOUN	9	nsubj:pass
14	de	ADP	15	case
15	metro	NOUN	13	nmod
16	en	ADP	18	case
17	la	DET	18	det
18	parte	NOUN	9	obl
19	baja	ADJ	18	amod
20	de	ADP	23	case
21	la	DET	23	det
22	nueva	ADJ	23	amod
23	Diagonal	PROPN	18	nmod
24	y	CCONJ	31	cc
25	,	PUNCT	26	punct
26	sobre	ADP	31	advmod
27	todo	PRON	26	fixed
28	,	PUNCT	26	punct
29	que	SCONJ	31	mark
30	se	PRON	31	expl:pass
31	construyan	VERB	9	conj
32	más	ADV	33	advmod
33	aparcamientos	NOUN	31	nsubj
34	para	ADP	36	case
35	los	DET	36	det
36	vecinos	NOUN	33	nmod
37	.	PUNCT	6	punct