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 actual sistema de matriculación está vigente desde el 7 de octubre de 1971, por lo que, en el caso de Madrid, han sido necesarios 29 años para agotar el sistema.
Postion	Tokenization
1	El
2	actual
3	sistema
4	de
5	matriculación
6	está
7	vigente
8	desde
9	el
10	7
11	de
12	octubre
13	de
14	1971
15	,
16	por
17	lo
18	que
19	,
20	en
21	el
22	caso
23	de
24	Madrid
25	,
26	han
27	sido
28	necesarios
29	29
30	años
31	para
32	agotar
33	el
34	sistema
35	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	3	det
2	actual	ADJ	3	amod
3	sistema	NOUN	7	nsubj
4	de	ADP	5	case
5	matriculación	NOUN	3	nmod
6	está	AUX	7	cop
7	vigente	ADJ	0	root
8	desde	ADP	10	case
9	el	DET	10	det
10	7	NUM	7	obl
11	de	ADP	12	case
12	octubre	NOUN	10	compound
13	de	ADP	14	case
14	1971	NUM	10	compound
15	,	PUNCT	28	punct
16	por	ADP	28	case
17	lo	PRON	28	det
18	que	PRON	28	obl
19	,	PUNCT	24	punct
20	en	ADP	24	case
21	el	DET	20	fixed
22	caso	NOUN	20	fixed
23	de	ADP	20	fixed
24	Madrid	PROPN	28	obl
25	,	PUNCT	24	punct
26	han	AUX	28	aux
27	sido	AUX	28	cop
28	necesarios	ADJ	7	advcl
29	29	NUM	30	nummod
30	años	NOUN	28	nsubj
31	para	ADP	32	mark
32	agotar	VERB	28	advcl
33	el	DET	34	det
34	sistema	NOUN	32	obj
35	.	PUNCT	7	punct