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 material anterior, que se hallaba en la Casa Museu Alegre de Sagrera, y los nuevos documentos se catalogarán y quedarán depositados en el archivo histórico municipal.
Postion	Tokenization
1	El
2	material
3	anterior
4	,
5	que
6	se
7	hallaba
8	en
9	la
10	Casa
11	Museu
12	Alegre
13	de
14	Sagrera
15	,
16	y
17	los
18	nuevos
19	documentos
20	se
21	catalogarán
22	y
23	quedarán
24	depositados
25	en
26	el
27	archivo
28	histórico
29	municipal
30	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	material	NOUN	21	nsubj
3	anterior	ADJ	2	amod
4	,	PUNCT	7	punct
5	que	PRON	7	nsubj
6	se	PRON	7	expl:pv
7	hallaba	VERB	2	acl
8	en	ADP	10	case
9	la	DET	10	det
10	Casa	PROPN	7	obl
11	Museu	PROPN	10	flat
12	Alegre	PROPN	10	flat
13	de	ADP	14	case
14	Sagrera	PROPN	10	flat
15	,	PUNCT	7	punct
16	y	CCONJ	19	cc
17	los	DET	19	det
18	nuevos	ADJ	19	amod
19	documentos	NOUN	2	conj
20	se	PRON	21	expl:pass
21	catalogarán	VERB	0	root
22	y	CCONJ	23	cc
23	quedarán	VERB	21	conj
24	depositados	ADJ	23	obj
25	en	ADP	27	case
26	el	DET	27	det
27	archivo	NOUN	24	obl
28	histórico	ADJ	27	amod
29	municipal	ADJ	27	amod
30	.	PUNCT	21	punct