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 secretario general de la Presidència de la Generalitat, Joaquim Triadú, compartió la esencia teórica del discurso de Josep Antoni Duran Lleida en todas aquellas cuestiones que hicieron referencia a la búsqueda de fórmulas que impliquen una mayor participación ciudadana en la vida política.
Postion	Tokenization
1	El
2	secretario
3	general
4	de
5	la
6	Presidència
7	de
8	la
9	Generalitat
10	,
11	Joaquim
12	Triadú
13	,
14	compartió
15	la
16	esencia
17	teórica
18	del
19	discurso
20	de
21	Josep
22	Antoni
23	Duran
24	Lleida
25	en
26	todas
27	aquellas
28	cuestiones
29	que
30	hicieron
31	referencia
32	a
33	la
34	búsqueda
35	de
36	fórmulas
37	que
38	impliquen
39	una
40	mayor
41	participación
42	ciudadana
43	en
44	la
45	vida
46	política
47	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	secretario	NOUN	14	nsubj
3	general	ADJ	2	amod
4	de	ADP	6	case
5	la	DET	6	det
6	Presidència	PROPN	2	nmod
7	de	ADP	9	case
8	la	DET	9	det
9	Generalitat	PROPN	6	flat
10	,	PUNCT	11	punct
11	Joaquim	PROPN	2	appos
12	Triadú	PROPN	11	flat
13	,	PUNCT	11	punct
14	compartió	VERB	0	root
15	la	DET	16	det
16	esencia	NOUN	14	obj
17	teórica	ADJ	16	amod
18	del	ADP	19	case
19	discurso	NOUN	16	nmod
20	de	ADP	21	case
21	Josep	PROPN	19	nmod
22	Antoni	PROPN	21	flat
23	Duran	PROPN	21	flat
24	Lleida	PROPN	21	flat
25	en	ADP	28	case
26	todas	DET	27	det
27	aquellas	DET	28	det
28	cuestiones	NOUN	14	obl
29	que	PRON	30	nsubj
30	hicieron	VERB	28	acl
31	referencia	NOUN	30	compound
32	a	ADP	34	case
33	la	DET	34	det
34	búsqueda	NOUN	30	obj
35	de	ADP	36	case
36	fórmulas	NOUN	34	nmod
37	que	PRON	38	nsubj
38	impliquen	VERB	36	acl
39	una	DET	41	det
40	mayor	ADJ	41	amod
41	participación	NOUN	38	obj
42	ciudadana	ADJ	41	amod
43	en	ADP	45	case
44	la	DET	45	det
45	vida	NOUN	41	nmod
46	política	ADJ	45	amod
47	.	PUNCT	14	punct