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 grupo energético multinacional ABB Alstom Power confirmó ayer a los sindicatos que despedirá a 10.000 trabajadores, el 18,5% de la plantilla, en todo el mundo.
Postion	Tokenization
1	El
2	grupo
3	energético
4	multinacional
5	ABB
6	Alstom
7	Power
8	confirmó
9	ayer
10	a
11	los
12	sindicatos
13	que
14	despedirá
15	a
16	10.000
17	trabajadores
18	,
19	el
20	18,5%
21	de
22	la
23	plantilla
24	,
25	en
26	todo
27	el
28	mundo
29	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	grupo	NOUN	8	nsubj
3	energético	ADJ	2	amod
4	multinacional	ADJ	2	amod
5	ABB	PROPN	2	appos
6	Alstom	PROPN	5	flat
7	Power	PROPN	5	flat
8	confirmó	VERB	0	root
9	ayer	ADV	8	advmod
10	a	ADP	12	case
11	los	DET	12	det
12	sindicatos	NOUN	8	iobj
13	que	SCONJ	14	mark
14	despedirá	VERB	8	ccomp
15	a	ADP	17	case
16	10.000	NUM	17	nummod
17	trabajadores	NOUN	14	obj
18	,	PUNCT	20	punct
19	el	DET	20	det
20	18,5%	SYM	17	appos
21	de	ADP	23	case
22	la	DET	23	det
23	plantilla	NOUN	20	nmod
24	,	PUNCT	20	punct
25	en	ADP	28	case
26	todo	DET	27	det
27	el	DET	28	det
28	mundo	NOUN	14	obl
29	.	PUNCT	8	punct