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:
Yo creo que lo que tendríamos que tener ya sería una red más extensa y amplia de metros (Creo que llevamos un retraso comparado con otras ciudades europeas de unos 20 años).
Postion	Tokenization
1	Yo
2	creo
3	que
4	lo
5	que
6	tendríamos
7	que
8	tener
9	ya
10	sería
11	una
12	red
13	más
14	extensa
15	y
16	amplia
17	de
18	metros
19	(
20	Creo
21	que
22	llevamos
23	un
24	retraso
25	comparado
26	con
27	otras
28	ciudades
29	europeas
30	de
31	unos
32	20
33	años
34	)
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Yo	PRON	2	nsubj
2	creo	VERB	0	root
3	que	SCONJ	12	mark
4	lo	PRON	8	det
5	que	PRON	8	obj
6	tendríamos	VERB	12	csubj
7	que	SCONJ	8	cc
8	tener	VERB	6	conj
9	ya	ADV	8	advmod
10	sería	AUX	12	cop
11	una	DET	12	det
12	red	NOUN	2	ccomp
13	más	ADV	14	advmod
14	extensa	ADJ	12	amod
15	y	CCONJ	16	cc
16	amplia	ADJ	14	conj
17	de	ADP	18	case
18	metros	NOUN	14	nmod
19	(	PUNCT	20	punct
20	Creo	VERB	2	parataxis
21	que	SCONJ	22	mark
22	llevamos	VERB	20	ccomp
23	un	DET	24	det
24	retraso	NOUN	22	obj
25	comparado	ADJ	24	amod
26	con	ADP	28	case
27	otras	DET	28	det
28	ciudades	NOUN	25	obj
29	europeas	ADJ	28	amod
30	de	ADP	33	case
31	unos	PRON	32	nmod
32	20	NUM	33	nummod
33	años	NOUN	24	nmod
34	)	PUNCT	20	punct
35	.	PUNCT	2	punct