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:
De entrada, Alemania ha retrasado el levantamiento de la prohibición hasta finales de septiembre y, en Francia, el ministro de Agricultura, Jean Glavany, ya ha advertido de que tomará medidas "para tener informados a los consumidores y decirles qué carne están comprando".
Postion	Tokenization
1	De
2	entrada
3	,
4	Alemania
5	ha
6	retrasado
7	el
8	levantamiento
9	de
10	la
11	prohibición
12	hasta
13	finales
14	de
15	septiembre
16	y
17	,
18	en
19	Francia
20	,
21	el
22	ministro
23	de
24	Agricultura
25	,
26	Jean
27	Glavany
28	,
29	ya
30	ha
31	advertido
32	de
33	que
34	tomará
35	medidas
36	"
37	para
38	tener
39	informados
40	a
41	los
42	consumidores
43	y
44	decirles
45	decir
46	les
47	qué
48	carne
49	están
50	comprando
51	"
52	.
Position	Tokenization	UPOS	Head	Deprel
1	De	ADP	6	advmod
2	entrada	NOUN	1	fixed
3	,	PUNCT	1	punct
4	Alemania	PROPN	6	nsubj
5	ha	AUX	6	aux
6	retrasado	VERB	0	root
7	el	DET	8	det
8	levantamiento	NOUN	6	obj
9	de	ADP	11	case
10	la	DET	11	det
11	prohibición	NOUN	8	nmod
12	hasta	ADP	13	case
13	finales	NOUN	6	obl
14	de	ADP	15	case
15	septiembre	NOUN	13	nmod
16	y	CCONJ	31	cc
17	,	PUNCT	19	punct
18	en	ADP	19	case
19	Francia	PROPN	31	obl
20	,	PUNCT	19	punct
21	el	DET	22	det
22	ministro	NOUN	31	nsubj
23	de	ADP	24	case
24	Agricultura	PROPN	22	nmod
25	,	PUNCT	26	punct
26	Jean	PROPN	22	appos
27	Glavany	PROPN	26	flat
28	,	PUNCT	26	punct
29	ya	ADV	31	advmod
30	ha	AUX	31	aux
31	advertido	VERB	6	conj
32	de	ADP	34	mark
33	que	SCONJ	34	mark
34	tomará	VERB	31	ccomp
35	medidas	NOUN	34	obj
36	"	PUNCT	37	punct
37	para	ADP	35	nmod
38	tener	AUX	39	aux
39	informados	ADJ	37	advmod
40	a	ADP	42	case
41	los	DET	42	det
42	consumidores	NOUN	39	obj
43	y	CCONJ	44	cc
44	decirles	_	None	_
45	decir	VERB	39	conj
46	les	PRON	44	obj
47	qué	DET	47	det
48	carne	NOUN	44	obj
49	están	AUX	44	aux
50	comprando	VERB	44	xcomp
51	"	PUNCT	37	punct
52	.	PUNCT	6	punct