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:
"Antes de ocupar la finca - - prosigue Norman - - hablamos con el propietario, que tiene otras siete granjas".
Postion	Tokenization
1	"
2	Antes
3	de
4	ocupar
5	la
6	finca
7	-
8	-
9	prosigue
10	Norman
11	-
12	-
13	hablamos
14	con
15	el
16	propietario
17	,
18	que
19	tiene
20	otras
21	siete
22	granjas
23	"
24	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	13	punct
2	Antes	ADV	13	advmod
3	de	ADP	4	mark
4	ocupar	VERB	2	advcl
5	la	DET	6	det
6	finca	NOUN	4	obj
7	-	PUNCT	9	punct
8	-	PUNCT	9	punct
9	prosigue	VERB	13	parataxis
10	Norman	PROPN	9	nsubj
11	-	PUNCT	9	punct
12	-	PUNCT	9	punct
13	hablamos	VERB	0	root
14	con	ADP	16	case
15	el	DET	16	det
16	propietario	NOUN	13	obl
17	,	PUNCT	19	punct
18	que	PRON	19	nsubj
19	tiene	VERB	16	acl
20	otras	DET	22	det
21	siete	NUM	20	nummod
22	granjas	NOUN	19	obj
23	"	PUNCT	13	punct
24	.	PUNCT	13	punct