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:
Pero fueron los jóvenes quienes dieron color (y tensión) a la marcha con tambores, bengalas y un arrojo algo imprudente que les llevó a cortar la Gran Vía 15 minutos y a lanzar huevos contra el distrito.
Postion	Tokenization
1	Pero
2	fueron
3	los
4	jóvenes
5	quienes
6	dieron
7	color
8	(
9	y
10	tensión
11	)
12	a
13	la
14	marcha
15	con
16	tambores
17	,
18	bengalas
19	y
20	un
21	arrojo
22	algo
23	imprudente
24	que
25	les
26	llevó
27	a
28	cortar
29	la
30	Gran
31	Vía
32	15
33	minutos
34	y
35	a
36	lanzar
37	huevos
38	contra
39	el
40	distrito
41	.
Position	Tokenization	UPOS	Head	Deprel
1	Pero	CCONJ	2	advmod
2	fueron	AUX	0	root
3	los	DET	4	det
4	jóvenes	NOUN	2	nsubj
5	quienes	PRON	6	nsubj
6	dieron	VERB	2	ccomp
7	color	NOUN	6	obj
8	(	PUNCT	10	punct
9	y	CCONJ	10	cc
10	tensión	NOUN	7	conj
11	)	PUNCT	10	punct
12	a	ADP	14	case
13	la	DET	14	det
14	marcha	NOUN	6	obj
15	con	ADP	16	case
16	tambores	NOUN	6	obl
17	,	PUNCT	18	punct
18	bengalas	NOUN	16	appos
19	y	CCONJ	21	cc
20	un	DET	21	det
21	arrojo	NOUN	16	conj
22	algo	ADV	23	advmod
23	imprudente	ADJ	21	amod
24	que	PRON	26	nsubj
25	les	PRON	26	obj
26	llevó	VERB	21	acl
27	a	ADP	28	mark
28	cortar	VERB	26	advcl
29	la	DET	30	det
30	Gran	ADJ	28	obj
31	Vía	PROPN	30	flat
32	15	NUM	33	nummod
33	minutos	NOUN	28	obl
34	y	CCONJ	36	cc
35	a	ADP	36	mark
36	lanzar	VERB	28	conj
37	huevos	NOUN	36	obj
38	contra	ADP	40	case
39	el	DET	40	det
40	distrito	NOUN	36	obl
41	.	PUNCT	2	punct