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:
La presencia de Barrichello en el aspecto deportivo también puede tener una gran importancia en los planes del alemán para conseguir el título.
Postion	Tokenization
1	La
2	presencia
3	de
4	Barrichello
5	en
6	el
7	aspecto
8	deportivo
9	también
10	puede
11	tener
12	una
13	gran
14	importancia
15	en
16	los
17	planes
18	del
19	alemán
20	para
21	conseguir
22	el
23	título
24	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	presencia	NOUN	11	nsubj
3	de	ADP	4	case
4	Barrichello	PROPN	2	nmod
5	en	ADP	7	case
6	el	DET	7	det
7	aspecto	NOUN	2	nmod
8	deportivo	ADJ	7	amod
9	también	ADV	11	advmod
10	puede	AUX	11	aux
11	tener	VERB	0	root
12	una	DET	14	det
13	gran	ADJ	14	amod
14	importancia	NOUN	11	obj
15	en	ADP	17	case
16	los	DET	17	det
17	planes	NOUN	14	nmod
18	del	ADP	19	case
19	alemán	NOUN	17	nmod
20	para	ADP	21	mark
21	conseguir	VERB	17	acl
22	el	DET	23	det
23	título	NOUN	21	obj
24	.	PUNCT	11	punct