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:
Ferrari, que no pudo conseguir el último título del milenio, espera conseguir el primero del nuevo con Michael Schumacher, quién en esta ocasión contará con el brasileño Rubens Barrichello como compañero de equipo.
Postion	Tokenization
1	Ferrari
2	,
3	que
4	no
5	pudo
6	conseguir
7	el
8	último
9	título
10	del
11	milenio
12	,
13	espera
14	conseguir
15	el
16	primero
17	del
18	nuevo
19	con
20	Michael
21	Schumacher
22	,
23	quién
24	en
25	esta
26	ocasión
27	contará
28	con
29	el
30	brasileño
31	Rubens
32	Barrichello
33	como
34	compañero
35	de
36	equipo
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Ferrari	PROPN	13	nsubj
2	,	PUNCT	6	punct
3	que	PRON	6	nsubj
4	no	ADV	6	advmod
5	pudo	AUX	6	aux
6	conseguir	VERB	1	acl
7	el	DET	9	det
8	último	ADJ	9	amod
9	título	NOUN	6	obj
10	del	ADP	11	case
11	milenio	NOUN	9	nmod
12	,	PUNCT	6	punct
13	espera	VERB	0	root
14	conseguir	VERB	13	xcomp
15	el	DET	16	det
16	primero	ADJ	14	obj
17	del	ADP	18	case
18	nuevo	ADJ	16	amod
19	con	ADP	20	case
20	Michael	PROPN	14	obl
21	Schumacher	PROPN	20	flat
22	,	PUNCT	27	punct
23	quién	PRON	27	nsubj
24	en	ADP	26	case
25	esta	DET	26	det
26	ocasión	NOUN	27	obl
27	contará	VERB	20	acl
28	con	ADP	30	case
29	el	DET	30	det
30	brasileño	NOUN	27	obj
31	Rubens	PROPN	30	appos
32	Barrichello	PROPN	31	flat
33	como	SCONJ	34	mark
34	compañero	NOUN	30	nmod
35	de	ADP	36	case
36	equipo	NOUN	34	nmod
37	.	PUNCT	13	punct