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:
En 1708 era en las tres dimensiones del cuerpo propio donde ponía el primer fundamento de la distinción de las regiones en el espacio.
Postion	Tokenization
1	En
2	1708
3	era
4	en
5	las
6	tres
7	dimensiones
8	del
9	cuerpo
10	propio
11	donde
12	ponía
13	el
14	primer
15	fundamento
16	de
17	la
18	distinción
19	de
20	las
21	regiones
22	en
23	el
24	espacio
25	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	2	case
2	1708	NOUN	7	obl
3	era	AUX	7	cop
4	en	ADP	7	case
5	las	DET	7	det
6	tres	NUM	5	nummod
7	dimensiones	NOUN	0	root
8	del	ADP	9	case
9	cuerpo	NOUN	7	nmod
10	propio	ADJ	9	amod
11	donde	PRON	12	obl
12	ponía	VERB	7	acl
13	el	DET	15	det
14	primer	ADJ	15	amod
15	fundamento	NOUN	12	obj
16	de	ADP	18	case
17	la	DET	18	det
18	distinción	NOUN	15	nmod
19	de	ADP	21	case
20	las	DET	21	det
21	regiones	NOUN	18	nmod
22	en	ADP	24	case
23	el	DET	24	det
24	espacio	NOUN	18	nmod
25	.	PUNCT	7	punct