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:
Jordi Saladrigas Trepat, de 38 años, jefe de sección de EL PERIÓDICO, murió ayer tras una lucha firme y sin flaquezas contra un cáncer de hígado, que le fue diagnosticado hace ocho meses.
Postion	Tokenization
1	Jordi
2	Saladrigas
3	Trepat
4	,
5	de
6	38
7	años
8	,
9	jefe
10	de
11	sección
12	de
13	EL
14	PERIÓDICO
15	,
16	murió
17	ayer
18	tras
19	una
20	lucha
21	firme
22	y
23	sin
24	flaquezas
25	contra
26	un
27	cáncer
28	de
29	hígado
30	,
31	que
32	le
33	fue
34	diagnosticado
35	hace
36	ocho
37	meses
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Jordi	PROPN	16	nsubj
2	Saladrigas	PROPN	1	flat
3	Trepat	PROPN	1	flat
4	,	PUNCT	7	punct
5	de	ADP	7	case
6	38	NUM	7	nummod
7	años	NOUN	1	nmod
8	,	PUNCT	7	punct
9	jefe	NOUN	1	appos
10	de	ADP	11	case
11	sección	NOUN	9	nmod
12	de	ADP	14	case
13	EL	DET	14	det
14	PERIÓDICO	PROPN	9	nmod
15	,	PUNCT	1	punct
16	murió	VERB	0	root
17	ayer	ADV	16	advmod
18	tras	ADP	20	case
19	una	DET	20	det
20	lucha	NOUN	16	obl
21	firme	ADJ	20	amod
22	y	CCONJ	24	cc
23	sin	ADP	24	case
24	flaquezas	NOUN	21	conj
25	contra	ADP	27	case
26	un	DET	27	det
27	cáncer	NOUN	20	nmod
28	de	ADP	29	case
29	hígado	NOUN	27	nmod
30	,	PUNCT	34	punct
31	que	PRON	34	nsubj
32	le	PRON	34	obj
33	fue	AUX	34	aux
34	diagnosticado	VERB	27	acl
35	hace	VERB	34	advcl
36	ocho	NUM	37	nummod
37	meses	NOUN	35	obj
38	.	PUNCT	16	punct