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:
Joan Clos vio obras recién acabadas en el barrio de Sant Ramon y visitó la sede de la asociación de vecinos y algunas tiendas.
Postion	Tokenization
1	Joan
2	Clos
3	vio
4	obras
5	recién
6	acabadas
7	en
8	el
9	barrio
10	de
11	Sant
12	Ramon
13	y
14	visitó
15	la
16	sede
17	de
18	la
19	asociación
20	de
21	vecinos
22	y
23	algunas
24	tiendas
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Joan	PROPN	3	nsubj
2	Clos	PROPN	1	flat
3	vio	VERB	0	root
4	obras	NOUN	3	obj
5	recién	ADV	6	advmod
6	acabadas	ADJ	4	amod
7	en	ADP	9	case
8	el	DET	9	det
9	barrio	NOUN	3	obl
10	de	ADP	11	case
11	Sant	PROPN	9	nmod
12	Ramon	PROPN	11	flat
13	y	CCONJ	14	cc
14	visitó	VERB	3	conj
15	la	DET	16	det
16	sede	NOUN	14	obj
17	de	ADP	19	case
18	la	DET	19	det
19	asociación	NOUN	16	nmod
20	de	ADP	21	case
21	vecinos	NOUN	19	nmod
22	y	CCONJ	24	cc
23	algunas	DET	24	det
24	tiendas	NOUN	16	conj
25	.	PUNCT	3	punct