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 magistrada fija una indemnización de 19,7 millones de pesetas para los familiares de la niña fallecida y 813.000 pesetas para uno de los otros dos niños que resultaron heridos.
Postion	Tokenization
1	La
2	magistrada
3	fija
4	una
5	indemnización
6	de
7	19,7
8	millones
9	de
10	pesetas
11	para
12	los
13	familiares
14	de
15	la
16	niña
17	fallecida
18	y
19	813.000
20	pesetas
21	para
22	uno
23	de
24	los
25	otros
26	dos
27	niños
28	que
29	resultaron
30	heridos
31	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	magistrada	NOUN	3	nsubj
3	fija	VERB	0	root
4	una	DET	5	det
5	indemnización	NOUN	3	obj
6	de	ADP	8	case
7	19,7	NUM	8	nummod
8	millones	NOUN	5	nmod
9	de	ADP	10	case
10	pesetas	NOUN	8	nmod
11	para	ADP	13	case
12	los	DET	13	det
13	familiares	NOUN	5	nmod
14	de	ADP	16	case
15	la	DET	16	det
16	niña	NOUN	13	nmod
17	fallecida	ADJ	16	amod
18	y	CCONJ	20	cc
19	813.000	NUM	20	nummod
20	pesetas	NOUN	3	conj
21	para	ADP	22	case
22	uno	PRON	20	nmod
23	de	ADP	27	case
24	los	DET	27	det
25	otros	DET	24	det
26	dos	NUM	24	nummod
27	niños	NOUN	22	nmod
28	que	PRON	29	nsubj
29	resultaron	VERB	27	acl
30	heridos	ADJ	29	obj
31	.	PUNCT	3	punct