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 especialista holandés criticó "la burocracia" que ha estado entorpeciendo la creación de la fuerza militar europea, prevista para el 2003, y que debe contar con unos 60.000 efectivos.
Postion	Tokenization
1	El
2	especialista
3	holandés
4	criticó
5	"
6	la
7	burocracia
8	"
9	que
10	ha
11	estado
12	entorpeciendo
13	la
14	creación
15	de
16	la
17	fuerza
18	militar
19	europea
20	,
21	prevista
22	para
23	el
24	2003
25	,
26	y
27	que
28	debe
29	contar
30	con
31	unos
32	60.000
33	efectivos
34	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	especialista	NOUN	4	nsubj
3	holandés	ADJ	2	amod
4	criticó	VERB	0	root
5	"	PUNCT	7	punct
6	la	DET	7	det
7	burocracia	NOUN	4	obj
8	"	PUNCT	7	punct
9	que	PRON	12	nsubj
10	ha	AUX	12	aux
11	estado	AUX	12	aux
12	entorpeciendo	VERB	7	acl
13	la	DET	14	det
14	creación	NOUN	12	obj
15	de	ADP	17	case
16	la	DET	17	det
17	fuerza	NOUN	14	nmod
18	militar	ADJ	17	amod
19	europea	ADJ	17	amod
20	,	PUNCT	21	punct
21	prevista	ADJ	17	amod
22	para	ADP	24	case
23	el	DET	24	det
24	2003	NOUN	21	obl
25	,	PUNCT	29	punct
26	y	CCONJ	29	cc
27	que	PRON	29	nsubj
28	debe	AUX	29	aux
29	contar	VERB	21	conj
30	con	ADP	33	case
31	unos	PRON	32	nmod
32	60.000	NUM	33	nummod
33	efectivos	NOUN	29	obj
34	.	PUNCT	4	punct