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:
Ha apostado por los servicios y las telecomunicaciones, con el objetivo de que el 70% de la facturación proceda de negocios no cíclicos.
Postion	Tokenization
1	Ha
2	apostado
3	por
4	los
5	servicios
6	y
7	las
8	telecomunicaciones
9	,
10	con
11	el
12	objetivo
13	de
14	que
15	el
16	70%
17	de
18	la
19	facturación
20	proceda
21	de
22	negocios
23	no
24	cíclicos
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Ha	AUX	2	aux
2	apostado	VERB	0	root
3	por	ADP	5	case
4	los	DET	5	det
5	servicios	NOUN	2	obj
6	y	CCONJ	8	cc
7	las	DET	8	det
8	telecomunicaciones	NOUN	5	conj
9	,	PUNCT	12	punct
10	con	ADP	12	case
11	el	DET	12	det
12	objetivo	NOUN	2	obl
13	de	ADP	20	mark
14	que	SCONJ	20	mark
15	el	DET	16	det
16	70%	SYM	20	nsubj
17	de	ADP	19	case
18	la	DET	19	det
19	facturación	NOUN	16	nmod
20	proceda	VERB	12	acl
21	de	ADP	22	case
22	negocios	NOUN	20	obj
23	no	ADV	24	advmod
24	cíclicos	ADJ	22	amod
25	.	PUNCT	2	punct