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:
A pesar de que la caja de ahorros en cuestión tiene su sede en el mismísimo centro de Barcelona, lo pone en inglés.
Postion	Tokenization
1	A
2	pesar
3	de
4	que
5	la
6	caja
7	de
8	ahorros
9	en
10	cuestión
11	tiene
12	su
13	sede
14	en
15	el
16	mismísimo
17	centro
18	de
19	Barcelona
20	,
21	lo
22	pone
23	en
24	inglés
25	.
Position	Tokenization	UPOS	Head	Deprel
1	A	ADP	11	mark
2	pesar	NOUN	1	fixed
3	de	ADP	1	fixed
4	que	SCONJ	1	fixed
5	la	DET	6	det
6	caja	NOUN	11	nsubj
7	de	ADP	8	case
8	ahorros	NOUN	6	nmod
9	en	ADP	10	case
10	cuestión	NOUN	6	nmod
11	tiene	VERB	22	advcl
12	su	DET	13	det
13	sede	NOUN	11	obj
14	en	ADP	17	case
15	el	DET	17	det
16	mismísimo	ADJ	17	amod
17	centro	NOUN	11	obl
18	de	ADP	19	case
19	Barcelona	PROPN	17	nmod
20	,	PUNCT	11	punct
21	lo	PRON	22	obj
22	pone	VERB	0	root
23	en	ADP	24	case
24	inglés	NOUN	22	obl
25	.	PUNCT	22	punct