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 JURADO, presidido por Miguel García Posada, concedió el premio de novela a Juan Marsé por Rabos de lagartija y el de poesía a Antonio Cabrera por En la estación perpetua.
Postion	Tokenization
1	EL
2	JURADO
3	,
4	presidido
5	por
6	Miguel
7	García
8	Posada
9	,
10	concedió
11	el
12	premio
13	de
14	novela
15	a
16	Juan
17	Marsé
18	por
19	Rabos
20	de
21	lagartija
22	y
23	el
24	de
25	poesía
26	a
27	Antonio
28	Cabrera
29	por
30	En
31	la
32	estación
33	perpetua
34	.
Position	Tokenization	UPOS	Head	Deprel
1	EL	DET	2	det
2	JURADO	NOUN	10	nsubj
3	,	PUNCT	4	punct
4	presidido	ADJ	2	amod
5	por	ADP	6	case
6	Miguel	PROPN	4	obj
7	García	PROPN	6	flat
8	Posada	PROPN	6	flat
9	,	PUNCT	4	punct
10	concedió	VERB	0	root
11	el	DET	12	det
12	premio	NOUN	10	obj
13	de	ADP	14	case
14	novela	NOUN	12	nmod
15	a	ADP	16	case
16	Juan	PROPN	10	obj
17	Marsé	PROPN	16	flat
18	por	ADP	19	case
19	Rabos	PROPN	16	nmod
20	de	ADP	21	case
21	lagartija	PROPN	19	flat
22	y	CCONJ	23	cc
23	el	DET	10	conj
24	de	ADP	23	case
25	poesía	NOUN	23	parataxis
26	a	ADP	27	case
27	Antonio	PROPN	23	nmod
28	Cabrera	PROPN	27	flat
29	por	ADP	32	case
30	En	ADP	32	case
31	la	DET	32	det
32	estación	PROPN	27	nmod
33	perpetua	PROPN	32	flat
34	.	PUNCT	10	punct