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 "Manifiesto de la cultura por la paz" fue presentado de manera simultánea al anuncio de la celebración de una "Jornada por la Paz" que tendrá lugar el próximo 2 de diciembre.
Postion	Tokenization
1	El
2	"
3	Manifiesto
4	de
5	la
6	cultura
7	por
8	la
9	paz
10	"
11	fue
12	presentado
13	de
14	manera
15	simultánea
16	al
17	anuncio
18	de
19	la
20	celebración
21	de
22	una
23	"
24	Jornada
25	por
26	la
27	Paz
28	"
29	que
30	tendrá
31	lugar
32	el
33	próximo
34	2
35	de
36	diciembre
37	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	3	det
2	"	PUNCT	3	punct
3	Manifiesto	NOUN	12	nsubj
4	de	ADP	6	case
5	la	DET	6	det
6	cultura	NOUN	3	nmod
7	por	ADP	9	case
8	la	DET	9	det
9	paz	NOUN	6	nmod
10	"	PUNCT	3	punct
11	fue	AUX	12	aux
12	presentado	VERB	0	root
13	de	ADP	14	case
14	manera	NOUN	12	obl
15	simultánea	ADJ	14	amod
16	al	ADP	17	case
17	anuncio	NOUN	15	nmod
18	de	ADP	20	case
19	la	DET	20	det
20	celebración	NOUN	17	nmod
21	de	ADP	24	case
22	una	DET	24	det
23	"	PUNCT	24	punct
24	Jornada	PROPN	20	nmod
25	por	ADP	27	case
26	la	DET	27	det
27	Paz	PROPN	24	flat
28	"	PUNCT	24	punct
29	que	PRON	30	nsubj
30	tendrá	VERB	20	acl
31	lugar	NOUN	30	compound
32	el	DET	34	det
33	próximo	ADJ	34	amod
34	2	NUM	30	obl
35	de	ADP	36	case
36	diciembre	NOUN	34	compound
37	.	PUNCT	12	punct