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:
UN JUEZ ha castigado a José Carlos Balaguer Paredes a seis meses de cárcel por tirar piedras a la policía y levantar barricadas durante la protesta convocada contra la Cumbre de Barcelona el 16 de marzo.
Postion	Tokenization
1	UN
2	JUEZ
3	ha
4	castigado
5	a
6	José
7	Carlos
8	Balaguer
9	Paredes
10	a
11	seis
12	meses
13	de
14	cárcel
15	por
16	tirar
17	piedras
18	a
19	la
20	policía
21	y
22	levantar
23	barricadas
24	durante
25	la
26	protesta
27	convocada
28	contra
29	la
30	Cumbre
31	de
32	Barcelona
33	el
34	16
35	de
36	marzo
37	.
Position	Tokenization	UPOS	Head	Deprel
1	UN	DET	2	det
2	JUEZ	NOUN	4	nsubj
3	ha	AUX	4	aux
4	castigado	VERB	0	root
5	a	ADP	6	case
6	José	PROPN	4	obj
7	Carlos	PROPN	6	flat
8	Balaguer	PROPN	6	flat
9	Paredes	PROPN	6	flat
10	a	ADP	12	case
11	seis	NUM	12	nummod
12	meses	NOUN	4	obj
13	de	ADP	14	case
14	cárcel	NOUN	12	nmod
15	por	ADP	16	mark
16	tirar	VERB	4	advcl
17	piedras	NOUN	16	obj
18	a	ADP	20	case
19	la	DET	20	det
20	policía	NOUN	16	obj
21	y	CCONJ	22	cc
22	levantar	VERB	16	conj
23	barricadas	NOUN	22	obj
24	durante	ADP	26	case
25	la	DET	26	det
26	protesta	NOUN	16	obl
27	convocada	ADJ	26	amod
28	contra	ADP	30	case
29	la	DET	30	det
30	Cumbre	PROPN	27	obl
31	de	ADP	32	case
32	Barcelona	PROPN	30	flat
33	el	DET	34	det
34	16	NUM	27	obl
35	de	ADP	36	case
36	marzo	NOUN	34	compound
37	.	PUNCT	4	punct