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 concejal insistió en que las inversiones en todos los proyectos dependerán de que "los vecinos opten a adquirir plazas con una concesión de 50 años".
Postion	Tokenization
1	El
2	concejal
3	insistió
4	en
5	que
6	las
7	inversiones
8	en
9	todos
10	los
11	proyectos
12	dependerán
13	de
14	que
15	"
16	los
17	vecinos
18	opten
19	a
20	adquirir
21	plazas
22	con
23	una
24	concesión
25	de
26	50
27	años
28	"
29	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	concejal	NOUN	3	nsubj
3	insistió	VERB	0	root
4	en	ADP	12	mark
5	que	SCONJ	12	mark
6	las	DET	7	det
7	inversiones	NOUN	12	nsubj
8	en	ADP	11	case
9	todos	DET	10	det
10	los	DET	11	det
11	proyectos	NOUN	7	nmod
12	dependerán	VERB	3	ccomp
13	de	ADP	18	mark
14	que	SCONJ	18	mark
15	"	PUNCT	18	punct
16	los	DET	17	det
17	vecinos	NOUN	18	nsubj
18	opten	VERB	12	ccomp
19	a	ADP	20	mark
20	adquirir	VERB	18	xcomp
21	plazas	NOUN	20	obj
22	con	ADP	24	case
23	una	DET	24	det
24	concesión	NOUN	20	obl
25	de	ADP	27	case
26	50	NUM	27	nummod
27	años	NOUN	24	nmod
28	"	PUNCT	18	punct
29	.	PUNCT	3	punct