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 hombre fuerte de la multinacional química será sustituido entonces por Erwin Rahuer en las funciones ejecutivas, que asumirá el cargo de presidente.
Postion	Tokenization
1	El
2	hombre
3	fuerte
4	de
5	la
6	multinacional
7	química
8	será
9	sustituido
10	entonces
11	por
12	Erwin
13	Rahuer
14	en
15	las
16	funciones
17	ejecutivas
18	,
19	que
20	asumirá
21	el
22	cargo
23	de
24	presidente
25	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	hombre	NOUN	9	nsubj
3	fuerte	ADJ	2	amod
4	de	ADP	6	case
5	la	DET	6	det
6	multinacional	NOUN	2	nmod
7	química	ADJ	6	amod
8	será	AUX	9	aux
9	sustituido	VERB	0	root
10	entonces	ADV	9	advmod
11	por	ADP	12	case
12	Erwin	PROPN	9	obj
13	Rahuer	PROPN	12	flat
14	en	ADP	16	case
15	las	DET	16	det
16	funciones	NOUN	9	obl
17	ejecutivas	ADJ	16	amod
18	,	PUNCT	20	punct
19	que	PRON	20	nsubj
20	asumirá	VERB	9	advcl
21	el	DET	22	det
22	cargo	NOUN	20	obj
23	de	ADP	24	case
24	presidente	NOUN	22	nmod
25	.	PUNCT	9	punct