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 pueblo holandés de Volendam se encontraba ayer bajo los efectos del shock producido por el incendio que costó la vida a nueve jóvenes que celebraban la Nochevieja en un bar.
Postion	Tokenization
1	El
2	pueblo
3	holandés
4	de
5	Volendam
6	se
7	encontraba
8	ayer
9	bajo
10	los
11	efectos
12	del
13	shock
14	producido
15	por
16	el
17	incendio
18	que
19	costó
20	la
21	vida
22	a
23	nueve
24	jóvenes
25	que
26	celebraban
27	la
28	Nochevieja
29	en
30	un
31	bar
32	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	pueblo	NOUN	7	nsubj
3	holandés	ADJ	2	amod
4	de	ADP	5	case
5	Volendam	PROPN	2	nmod
6	se	PRON	7	expl:pv
7	encontraba	VERB	0	root
8	ayer	ADV	7	advmod
9	bajo	ADP	11	case
10	los	DET	11	det
11	efectos	NOUN	7	obj
12	del	ADP	13	case
13	shock	NOUN	11	nmod
14	producido	ADJ	13	amod
15	por	ADP	17	case
16	el	DET	17	det
17	incendio	NOUN	14	obl
18	que	PRON	19	nsubj
19	costó	VERB	17	acl
20	la	DET	21	det
21	vida	NOUN	19	obj
22	a	ADP	24	case
23	nueve	NUM	24	nummod
24	jóvenes	NOUN	19	obj
25	que	PRON	26	nsubj
26	celebraban	VERB	24	acl
27	la	DET	28	det
28	Nochevieja	PROPN	26	obj
29	en	ADP	31	case
30	un	DET	31	det
31	bar	NOUN	26	obl
32	.	PUNCT	7	punct