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:
La reapertura de la factoría, en Móra d'Ebre, ha sido posible después de que la empresa Adobinve se haya hecho cargo de las instalaciones.
Postion	Tokenization
1	La
2	reapertura
3	de
4	la
5	factoría
6	,
7	en
8	Móra
9	d'Ebre
10	,
11	ha
12	sido
13	posible
14	después
15	de
16	que
17	la
18	empresa
19	Adobinve
20	se
21	haya
22	hecho
23	cargo
24	de
25	las
26	instalaciones
27	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	reapertura	NOUN	13	nsubj
3	de	ADP	5	case
4	la	DET	5	det
5	factoría	NOUN	2	nmod
6	,	PUNCT	8	punct
7	en	ADP	8	case
8	Móra	PROPN	2	nmod
9	d'Ebre	PROPN	8	flat
10	,	PUNCT	8	punct
11	ha	AUX	13	aux
12	sido	AUX	13	cop
13	posible	ADJ	0	root
14	después	ADV	13	advmod
15	de	ADP	22	mark
16	que	SCONJ	22	mark
17	la	DET	18	det
18	empresa	NOUN	22	nsubj
19	Adobinve	PROPN	18	appos
20	se	PRON	22	iobj
21	haya	AUX	22	aux
22	hecho	VERB	14	advcl
23	cargo	NOUN	22	compound
24	de	ADP	26	case
25	las	DET	26	det
26	instalaciones	NOUN	22	obj
27	.	PUNCT	13	punct