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:
El año pasado ya compartimos todas las carreras e, incluso, no solicitamos oscurecer Catalunya para que la audiencia no viera por La 2 la carrera ", ha añadido Oliva, quien ha recordado que el canal nacional no quiso transmitir los premios de Silverstone ni San Marino.
Postion	Tokenization
1	El
2	año
3	pasado
4	ya
5	compartimos
6	todas
7	las
8	carreras
9	e
10	,
11	incluso
12	,
13	no
14	solicitamos
15	oscurecer
16	Catalunya
17	para
18	que
19	la
20	audiencia
21	no
22	viera
23	por
24	La
25	2
26	la
27	carrera
28	"
29	,
30	ha
31	añadido
32	Oliva
33	,
34	quien
35	ha
36	recordado
37	que
38	el
39	canal
40	nacional
41	no
42	quiso
43	transmitir
44	los
45	premios
46	de
47	Silverstone
48	ni
49	San
50	Marino
51	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	año	NOUN	5	obl
3	pasado	ADJ	2	amod
4	ya	ADV	5	advmod
5	compartimos	VERB	31	ccomp
6	todas	DET	7	det
7	las	DET	8	det
8	carreras	NOUN	5	obj
9	e	CCONJ	14	cc
10	,	PUNCT	11	punct
11	incluso	ADV	14	advmod
12	,	PUNCT	11	punct
13	no	ADV	14	advmod
14	solicitamos	VERB	5	conj
15	oscurecer	VERB	14	xcomp
16	Catalunya	PROPN	15	obj
17	para	ADP	22	mark
18	que	SCONJ	22	mark
19	la	DET	20	det
20	audiencia	NOUN	22	nsubj
21	no	ADV	22	advmod
22	viera	VERB	15	advcl
23	por	ADP	25	case
24	La	DET	25	det
25	2	NUM	22	obl
26	la	DET	27	det
27	carrera	NOUN	22	obj
28	"	PUNCT	5	punct
29	,	PUNCT	5	punct
30	ha	AUX	31	aux
31	añadido	VERB	0	root
32	Oliva	PROPN	31	nsubj
33	,	PUNCT	36	punct
34	quien	PRON	36	nsubj
35	ha	AUX	36	aux
36	recordado	VERB	32	acl
37	que	SCONJ	42	mark
38	el	DET	39	det
39	canal	NOUN	42	nsubj
40	nacional	ADJ	39	amod
41	no	ADV	42	advmod
42	quiso	VERB	36	ccomp
43	transmitir	VERB	42	xcomp
44	los	DET	45	det
45	premios	NOUN	43	obj
46	de	ADP	47	case
47	Silverstone	PROPN	45	nmod
48	ni	CCONJ	49	cc
49	San	PROPN	47	conj
50	Marino	PROPN	49	flat
51	.	PUNCT	31	punct