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:
Puerta y Corcuera mantienen hoy la vecindad, ya que las casas de ambos están en una misma calle de la urbanización Novaserra, en Majadahonda (Madrid).
Postion	Tokenization
1	Puerta
2	y
3	Corcuera
4	mantienen
5	hoy
6	la
7	vecindad
8	,
9	ya
10	que
11	las
12	casas
13	de
14	ambos
15	están
16	en
17	una
18	misma
19	calle
20	de
21	la
22	urbanización
23	Novaserra
24	,
25	en
26	Majadahonda
27	(
28	Madrid
29	)
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Puerta	PROPN	4	nsubj
2	y	CCONJ	3	cc
3	Corcuera	PROPN	1	conj
4	mantienen	VERB	0	root
5	hoy	ADV	4	advmod
6	la	DET	7	det
7	vecindad	NOUN	4	obj
8	,	PUNCT	15	punct
9	ya	ADV	15	mark
10	que	SCONJ	9	fixed
11	las	DET	12	det
12	casas	NOUN	15	nsubj
13	de	ADP	14	case
14	ambos	NUM	12	nummod
15	están	VERB	4	advcl
16	en	ADP	19	case
17	una	DET	19	det
18	misma	DET	17	det
19	calle	NOUN	15	obj
20	de	ADP	22	case
21	la	DET	22	det
22	urbanización	NOUN	19	nmod
23	Novaserra	PROPN	22	appos
24	,	PUNCT	26	punct
25	en	ADP	26	case
26	Majadahonda	PROPN	22	nmod
27	(	PUNCT	28	punct
28	Madrid	PROPN	26	flat
29	)	PUNCT	28	punct
30	.	PUNCT	4	punct