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:
El objetivo de Caja Rural al finalizar el plan es contar con 100 oficinas, que permitirán crear 50 nuevos puestos de trabajo.
Postion	Tokenization
1	El
2	objetivo
3	de
4	Caja
5	Rural
6	al
7	finalizar
8	el
9	plan
10	es
11	contar
12	con
13	100
14	oficinas
15	,
16	que
17	permitirán
18	crear
19	50
20	nuevos
21	puestos
22	de
23	trabajo
24	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	objetivo	NOUN	10	nsubj
3	de	ADP	4	case
4	Caja	PROPN	2	nmod
5	Rural	PROPN	4	flat
6	al	ADP	7	mark
7	finalizar	VERB	2	acl
8	el	DET	9	det
9	plan	NOUN	7	obj
10	es	AUX	0	root
11	contar	VERB	10	ccomp
12	con	ADP	14	case
13	100	NUM	14	nummod
14	oficinas	NOUN	11	obj
15	,	PUNCT	17	punct
16	que	PRON	17	nsubj
17	permitirán	VERB	14	acl
18	crear	VERB	17	xcomp
19	50	NUM	21	nummod
20	nuevos	ADJ	21	amod
21	puestos	NOUN	18	obj
22	de	ADP	23	case
23	trabajo	NOUN	21	nmod
24	.	PUNCT	10	punct