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 demostrado que empieza a ser un digno aspirante porque une calidad, ambición, un mecánico juego de posición que ha logrado conjuntar y un potencial de ataque impresionante.
Postion	Tokenization
1	Ha
2	demostrado
3	que
4	empieza
5	a
6	ser
7	un
8	digno
9	aspirante
10	porque
11	une
12	calidad
13	,
14	ambición
15	,
16	un
17	mecánico
18	juego
19	de
20	posición
21	que
22	ha
23	logrado
24	conjuntar
25	y
26	un
27	potencial
28	de
29	ataque
30	impresionante
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Ha	AUX	2	aux
2	demostrado	VERB	0	root
3	que	SCONJ	4	mark
4	empieza	VERB	2	ccomp
5	a	ADP	9	case
6	ser	AUX	9	cop
7	un	DET	9	det
8	digno	ADJ	9	amod
9	aspirante	NOUN	4	xcomp
10	porque	SCONJ	11	mark
11	une	VERB	2	advcl
12	calidad	NOUN	11	obj
13	,	PUNCT	14	punct
14	ambición	NOUN	12	appos
15	,	PUNCT	18	punct
16	un	DET	18	det
17	mecánico	ADJ	18	amod
18	juego	NOUN	12	appos
19	de	ADP	20	case
20	posición	NOUN	18	nmod
21	que	PRON	23	iobj
22	ha	AUX	23	aux
23	logrado	VERB	18	acl
24	conjuntar	VERB	23	xcomp
25	y	CCONJ	27	cc
26	un	DET	27	det
27	potencial	NOUN	12	conj
28	de	ADP	29	case
29	ataque	NOUN	27	nmod
30	impresionante	ADJ	27	amod
31	.	PUNCT	2	punct