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 patronal francesa presentó hoy, tras una maratoniana negociación de trece horas, un nuevo texto sobre la reforma del seguro de desempleo que ha despertado el interés de cuatro de las cinco grandes centrales sindicales.
Postion	Tokenization
1	La
2	patronal
3	francesa
4	presentó
5	hoy
6	,
7	tras
8	una
9	maratoniana
10	negociación
11	de
12	trece
13	horas
14	,
15	un
16	nuevo
17	texto
18	sobre
19	la
20	reforma
21	del
22	seguro
23	de
24	desempleo
25	que
26	ha
27	despertado
28	el
29	interés
30	de
31	cuatro
32	de
33	las
34	cinco
35	grandes
36	centrales
37	sindicales
38	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	patronal	NOUN	4	nsubj
3	francesa	ADJ	2	amod
4	presentó	VERB	0	root
5	hoy	ADV	4	advmod
6	,	PUNCT	10	punct
7	tras	ADP	10	case
8	una	DET	10	det
9	maratoniana	ADJ	10	amod
10	negociación	NOUN	4	obl
11	de	ADP	13	case
12	trece	NUM	13	nummod
13	horas	NOUN	10	nmod
14	,	PUNCT	10	punct
15	un	DET	17	det
16	nuevo	ADJ	17	amod
17	texto	NOUN	4	obj
18	sobre	ADP	20	case
19	la	DET	20	det
20	reforma	NOUN	17	nmod
21	del	ADP	22	case
22	seguro	NOUN	20	nmod
23	de	ADP	24	case
24	desempleo	NOUN	22	nmod
25	que	PRON	27	nsubj
26	ha	AUX	27	aux
27	despertado	VERB	17	acl
28	el	DET	29	det
29	interés	NOUN	27	obj
30	de	ADP	31	case
31	cuatro	NUM	29	nummod
32	de	ADP	36	case
33	las	DET	36	det
34	cinco	NUM	33	nummod
35	grandes	ADJ	36	amod
36	centrales	NOUN	31	nmod
37	sindicales	ADJ	36	amod
38	.	PUNCT	4	punct