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:
Teniendo en cuenta el futuro de su empresa y de sus trabajadores, aseguró que estudia la posibilidad de aceptar la oferta de instalarse en Madrid.
Postion	Tokenization
1	Teniendo
2	en
3	cuenta
4	el
5	futuro
6	de
7	su
8	empresa
9	y
10	de
11	sus
12	trabajadores
13	,
14	aseguró
15	que
16	estudia
17	la
18	posibilidad
19	de
20	aceptar
21	la
22	oferta
23	de
24	instalarse
25	instalar
26	se
27	en
28	Madrid
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Teniendo	VERB	14	advcl
2	en	ADP	3	case
3	cuenta	NOUN	1	compound
4	el	DET	5	det
5	futuro	NOUN	1	obj
6	de	ADP	8	case
7	su	DET	8	det
8	empresa	NOUN	5	nmod
9	y	CCONJ	12	cc
10	de	ADP	12	case
11	sus	DET	12	det
12	trabajadores	NOUN	8	conj
13	,	PUNCT	1	punct
14	aseguró	VERB	0	root
15	que	SCONJ	16	mark
16	estudia	VERB	14	ccomp
17	la	DET	18	det
18	posibilidad	NOUN	16	obj
19	de	ADP	20	mark
20	aceptar	VERB	18	acl
21	la	DET	22	det
22	oferta	NOUN	20	obj
23	de	ADP	24	mark
24	instalarse	_	None	_
25	instalar	VERB	22	acl
26	se	PRON	24	expl:pv
27	en	ADP	27	case
28	Madrid	PROPN	24	obl
29	.	PUNCT	14	punct