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:
Con la nueva tarjeta, el cliente podrá obtener también anticipos en efectivo en las ventanillas de todas las oficinas del Banco Solidario, cuyo capital proviene en un 40 por ciento de la inversión extranjera.
Postion	Tokenization
1	Con
2	la
3	nueva
4	tarjeta
5	,
6	el
7	cliente
8	podrá
9	obtener
10	también
11	anticipos
12	en
13	efectivo
14	en
15	las
16	ventanillas
17	de
18	todas
19	las
20	oficinas
21	del
22	Banco
23	Solidario
24	,
25	cuyo
26	capital
27	proviene
28	en
29	un
30	40
31	por
32	ciento
33	de
34	la
35	inversión
36	extranjera
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Con	ADP	4	case
2	la	DET	4	det
3	nueva	ADJ	4	amod
4	tarjeta	NOUN	9	obl
5	,	PUNCT	4	punct
6	el	DET	7	det
7	cliente	NOUN	9	nsubj
8	podrá	AUX	9	aux
9	obtener	VERB	0	root
10	también	ADV	9	advmod
11	anticipos	NOUN	9	obj
12	en	ADP	13	case
13	efectivo	NOUN	11	nmod
14	en	ADP	16	case
15	las	DET	16	det
16	ventanillas	NOUN	9	obl
17	de	ADP	20	case
18	todas	DET	19	det
19	las	DET	20	det
20	oficinas	NOUN	16	nmod
21	del	ADP	22	case
22	Banco	PROPN	20	nmod
23	Solidario	PROPN	22	flat
24	,	PUNCT	27	punct
25	cuyo	PRON	26	nmod
26	capital	NOUN	27	nsubj
27	proviene	VERB	22	acl
28	en	ADP	30	case
29	un	DET	30	det
30	40	NUM	27	obl
31	por	ADP	32	case
32	ciento	NUM	30	compound
33	de	ADP	35	case
34	la	DET	35	det
35	inversión	NOUN	27	obj
36	extranjera	ADJ	35	amod
37	.	PUNCT	9	punct