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 accidentado fin de fiesta de Nochevieja en la plaza de Catalunya se agravó por la nula presencia de agentes del Cuerpo Nacional de Policía, según fuentes del Ayuntamiento de Barcelona.
Postion	Tokenization
1	El
2	accidentado
3	fin
4	de
5	fiesta
6	de
7	Nochevieja
8	en
9	la
10	plaza
11	de
12	Catalunya
13	se
14	agravó
15	por
16	la
17	nula
18	presencia
19	de
20	agentes
21	del
22	Cuerpo
23	Nacional
24	de
25	Policía
26	,
27	según
28	fuentes
29	del
30	Ayuntamiento
31	de
32	Barcelona
33	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	3	det
2	accidentado	ADJ	3	amod
3	fin	NOUN	14	nsubj
4	de	ADP	5	case
5	fiesta	NOUN	3	nmod
6	de	ADP	7	case
7	Nochevieja	PROPN	3	nmod
8	en	ADP	10	case
9	la	DET	10	det
10	plaza	NOUN	3	nmod
11	de	ADP	12	case
12	Catalunya	PROPN	10	nmod
13	se	PRON	14	expl:pass
14	agravó	VERB	0	root
15	por	ADP	18	case
16	la	DET	18	det
17	nula	ADJ	18	amod
18	presencia	NOUN	14	obj
19	de	ADP	20	case
20	agentes	NOUN	18	nmod
21	del	ADP	22	case
22	Cuerpo	PROPN	20	nmod
23	Nacional	PROPN	22	flat
24	de	ADP	25	case
25	Policía	PROPN	22	flat
26	,	PUNCT	28	punct
27	según	ADP	28	case
28	fuentes	NOUN	14	obl
29	del	ADP	30	case
30	Ayuntamiento	PROPN	28	nmod
31	de	ADP	32	case
32	Barcelona	PROPN	30	flat
33	.	PUNCT	14	punct