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 Ayuntamiento de Barcelona instalará, finalmente, ocho cámaras para controlar la velocidad en las rondas de Barcelona, y no las seis previstas inicialmente.
Postion	Tokenization
1	El
2	Ayuntamiento
3	de
4	Barcelona
5	instalará
6	,
7	finalmente
8	,
9	ocho
10	cámaras
11	para
12	controlar
13	la
14	velocidad
15	en
16	las
17	rondas
18	de
19	Barcelona
20	,
21	y
22	no
23	las
24	seis
25	previstas
26	inicialmente
27	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	Ayuntamiento	PROPN	5	nsubj
3	de	ADP	4	case
4	Barcelona	PROPN	2	flat
5	instalará	VERB	0	root
6	,	PUNCT	7	punct
7	finalmente	ADV	5	advmod
8	,	PUNCT	7	punct
9	ocho	NUM	10	nummod
10	cámaras	NOUN	5	obj
11	para	ADP	12	mark
12	controlar	VERB	5	advcl
13	la	DET	14	det
14	velocidad	NOUN	12	obj
15	en	ADP	17	case
16	las	DET	17	det
17	rondas	NOUN	12	obl
18	de	ADP	19	case
19	Barcelona	PROPN	17	nmod
20	,	PUNCT	24	punct
21	y	CCONJ	24	cc
22	no	ADV	24	advmod
23	las	DET	24	det
24	seis	NUM	5	conj
25	previstas	ADJ	24	advmod
26	inicialmente	ADV	25	advmod
27	.	PUNCT	5	punct