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:
- - - Ha visto usted las siete mansiones de 'Maraval Road? - - le preguntaría una vez más el taxista hindú.
Postion	Tokenization
1	-
2	-
3	-
4	Ha
5	visto
6	usted
7	las
8	siete
9	mansiones
10	de
11	'
12	Maraval
13	Road
14	?
15	-
16	-
17	le
18	preguntaría
19	una
20	vez
21	más
22	el
23	taxista
24	hindú
25	.
Position	Tokenization	UPOS	Head	Deprel
1	-	PUNCT	5	punct
2	-	PUNCT	5	punct
3	-	PUNCT	5	punct
4	Ha	AUX	5	aux
5	visto	VERB	18	ccomp
6	usted	PRON	5	nsubj
7	las	DET	9	det
8	siete	NUM	7	nummod
9	mansiones	NOUN	5	obj
10	de	ADP	12	case
11	'	SYM	12	nmod
12	Maraval	PROPN	9	nmod
13	Road	PROPN	12	flat
14	?	PUNCT	5	punct
15	-	PUNCT	5	punct
16	-	PUNCT	5	punct
17	le	PRON	18	iobj
18	preguntaría	VERB	0	root
19	una	DET	20	det
20	vez	NOUN	18	obl
21	más	ADV	20	advmod
22	el	DET	23	det
23	taxista	NOUN	18	nsubj
24	hindú	ADJ	23	amod
25	.	PUNCT	18	punct