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 propósito a medio plazo, sin embargo, es contar con un mínimo de 60 unidades, con el objetivo de reducir la media de 50 muertes que cada año se producen en las calles de la ciudad.
Postion	Tokenization
1	El
2	propósito
3	a
4	medio
5	plazo
6	,
7	sin
8	embargo
9	,
10	es
11	contar
12	con
13	un
14	mínimo
15	de
16	60
17	unidades
18	,
19	con
20	el
21	objetivo
22	de
23	reducir
24	la
25	media
26	de
27	50
28	muertes
29	que
30	cada
31	año
32	se
33	producen
34	en
35	las
36	calles
37	de
38	la
39	ciudad
40	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	propósito	NOUN	10	nsubj
3	a	ADP	2	advmod
4	medio	NOUN	3	fixed
5	plazo	NOUN	3	fixed
6	,	PUNCT	7	punct
7	sin	ADP	10	advmod
8	embargo	NOUN	7	fixed
9	,	PUNCT	7	punct
10	es	AUX	0	root
11	contar	VERB	10	ccomp
12	con	ADP	14	case
13	un	DET	14	det
14	mínimo	ADJ	11	obj
15	de	ADP	17	case
16	60	NUM	17	nummod
17	unidades	NOUN	14	nmod
18	,	PUNCT	21	punct
19	con	ADP	21	case
20	el	DET	21	det
21	objetivo	NOUN	11	obl
22	de	ADP	23	mark
23	reducir	VERB	21	acl
24	la	DET	25	det
25	media	NOUN	23	obj
26	de	ADP	28	case
27	50	NUM	28	nummod
28	muertes	NOUN	25	nmod
29	que	PRON	33	nsubj
30	cada	DET	31	det
31	año	NOUN	33	obl
32	se	PRON	33	expl:pv
33	producen	VERB	28	acl
34	en	ADP	36	case
35	las	DET	36	det
36	calles	NOUN	33	obl
37	de	ADP	39	case
38	la	DET	39	det
39	ciudad	NOUN	36	nmod
40	.	PUNCT	10	punct