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:
Los ciclistas que corrían conmigo hace un año explicaban que los policías argentinos les hacían parar los vehículos y ellos seguían circulando, cerca de las bicicletas, como si nada ", añadió ayer Jesús Suárez Cueva, actual técnico del Mapei y exdirector del Fuenlabrada.
Postion	Tokenization
1	Los
2	ciclistas
3	que
4	corrían
5	conmigo
6	hace
7	un
8	año
9	explicaban
10	que
11	los
12	policías
13	argentinos
14	les
15	hacían
16	parar
17	los
18	vehículos
19	y
20	ellos
21	seguían
22	circulando
23	,
24	cerca
25	de
26	las
27	bicicletas
28	,
29	como
30	si
31	nada
32	"
33	,
34	añadió
35	ayer
36	Jesús
37	Suárez
38	Cueva
39	,
40	actual
41	técnico
42	del
43	Mapei
44	y
45	exdirector
46	del
47	Fuenlabrada
48	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	ciclistas	NOUN	9	nsubj
3	que	PRON	4	nsubj
4	corrían	VERB	2	acl
5	conmigo	PRON	4	obl
6	hace	VERB	4	advcl
7	un	DET	8	det
8	año	NOUN	6	obj
9	explicaban	VERB	34	ccomp
10	que	SCONJ	15	mark
11	los	DET	12	det
12	policías	NOUN	15	nsubj
13	argentinos	ADJ	12	amod
14	les	PRON	15	obj
15	hacían	VERB	9	xcomp
16	parar	VERB	15	xcomp
17	los	DET	18	det
18	vehículos	NOUN	15	obj
19	y	CCONJ	21	cc
20	ellos	PRON	21	nsubj
21	seguían	VERB	16	conj
22	circulando	VERB	21	xcomp
23	,	PUNCT	24	punct
24	cerca	ADV	21	advmod
25	de	ADP	27	case
26	las	DET	27	det
27	bicicletas	NOUN	24	obl
28	,	PUNCT	24	punct
29	como	SCONJ	31	mark
30	si	SCONJ	31	mark
31	nada	PRON	21	obl
32	"	PUNCT	9	punct
33	,	PUNCT	9	punct
34	añadió	VERB	0	root
35	ayer	ADV	34	advmod
36	Jesús	PROPN	34	nsubj
37	Suárez	PROPN	36	flat
38	Cueva	PROPN	36	flat
39	,	PUNCT	41	punct
40	actual	ADJ	41	amod
41	técnico	NOUN	36	appos
42	del	ADP	43	case
43	Mapei	PROPN	41	nmod
44	y	CCONJ	45	cc
45	exdirector	NOUN	41	conj
46	del	ADP	47	case
47	Fuenlabrada	PROPN	45	nmod
48	.	PUNCT	34	punct