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 Pujol apareció en los informativos de TV-3 durante el mes de julio durante un total de 36 minutos y 50 segundos, mientras que el tiempo destinado a Pasqual Maragall fue de 15 minutos y 20 segundos.
Postion	Tokenization
1	Jordi
2	Pujol
3	apareció
4	en
5	los
6	informativos
7	de
8	TV-3
9	durante
10	el
11	mes
12	de
13	julio
14	durante
15	un
16	total
17	de
18	36
19	minutos
20	y
21	50
22	segundos
23	,
24	mientras
25	que
26	el
27	tiempo
28	destinado
29	a
30	Pasqual
31	Maragall
32	fue
33	de
34	15
35	minutos
36	y
37	20
38	segundos
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Jordi	PROPN	3	nsubj
2	Pujol	PROPN	1	flat
3	apareció	VERB	24	parataxis
4	en	ADP	6	case
5	los	DET	6	det
6	informativos	NOUN	3	obl
7	de	ADP	8	case
8	TV-3	PROPN	6	nmod
9	durante	ADP	11	case
10	el	DET	11	det
11	mes	NOUN	3	obl
12	de	ADP	13	case
13	julio	NOUN	11	compound
14	durante	ADP	19	case
15	un	PRON	18	nmod
16	total	ADJ	18	amod
17	de	ADP	18	case
18	36	NUM	19	nummod
19	minutos	NOUN	3	obl
20	y	CCONJ	22	cc
21	50	NUM	22	nummod
22	segundos	NOUN	19	conj
23	,	PUNCT	24	punct
24	mientras	CCONJ	0	root
25	que	SCONJ	24	fixed
26	el	DET	27	det
27	tiempo	NOUN	35	nsubj
28	destinado	ADJ	27	amod
29	a	ADP	30	case
30	Pasqual	PROPN	28	obj
31	Maragall	PROPN	30	flat
32	fue	AUX	35	cop
33	de	ADP	35	case
34	15	NUM	35	nummod
35	minutos	NOUN	24	parataxis
36	y	CCONJ	38	cc
37	20	NUM	38	nummod
38	segundos	NOUN	35	conj
39	.	PUNCT	24	punct