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 acuerdo se ha conseguido después de que Alcan se asegurase el apoyo de BZ Group Holding Limited, uno de los principales accionistas de Algroup.
Postion	Tokenization
1	El
2	acuerdo
3	se
4	ha
5	conseguido
6	después
7	de
8	que
9	Alcan
10	se
11	asegurase
12	el
13	apoyo
14	de
15	BZ
16	Group
17	Holding
18	Limited
19	,
20	uno
21	de
22	los
23	principales
24	accionistas
25	de
26	Algroup
27	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	acuerdo	NOUN	5	nsubj
3	se	PRON	5	expl:pass
4	ha	AUX	5	aux
5	conseguido	VERB	0	root
6	después	ADV	5	advmod
7	de	ADP	11	mark
8	que	SCONJ	11	mark
9	Alcan	PROPN	11	nsubj
10	se	PRON	11	expl:pv
11	asegurase	VERB	6	advcl
12	el	DET	13	det
13	apoyo	NOUN	11	obj
14	de	ADP	15	case
15	BZ	PROPN	13	nmod
16	Group	PROPN	15	flat
17	Holding	PROPN	15	flat
18	Limited	PROPN	15	flat
19	,	PUNCT	20	punct
20	uno	PRON	15	appos
21	de	ADP	24	case
22	los	DET	24	det
23	principales	ADJ	24	amod
24	accionistas	NOUN	20	nmod
25	de	ADP	26	case
26	Algroup	PROPN	24	nmod
27	.	PUNCT	5	punct