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:
Valcárcel fue informado sobre este asunto por el presidente del Gobierno, José María Aznar, en la reunión que mantuvieron en el Palacio de la Moncloa, en la que hablaron, además, sobre infraestructuras, como el tren de alta velocidad a Levante, financiación autonómica e inmigración.
Postion	Tokenization
1	Valcárcel
2	fue
3	informado
4	sobre
5	este
6	asunto
7	por
8	el
9	presidente
10	del
11	Gobierno
12	,
13	José
14	María
15	Aznar
16	,
17	en
18	la
19	reunión
20	que
21	mantuvieron
22	en
23	el
24	Palacio
25	de
26	la
27	Moncloa
28	,
29	en
30	la
31	que
32	hablaron
33	,
34	además
35	,
36	sobre
37	infraestructuras
38	,
39	como
40	el
41	tren
42	de
43	alta
44	velocidad
45	a
46	Levante
47	,
48	financiación
49	autonómica
50	e
51	inmigración
52	.
Position	Tokenization	UPOS	Head	Deprel
1	Valcárcel	PROPN	3	nsubj
2	fue	AUX	3	aux
3	informado	VERB	0	root
4	sobre	ADP	6	case
5	este	DET	6	det
6	asunto	NOUN	3	obj
7	por	ADP	9	case
8	el	DET	9	det
9	presidente	NOUN	3	obj
10	del	ADP	11	case
11	Gobierno	PROPN	9	nmod
12	,	PUNCT	13	punct
13	José	PROPN	9	appos
14	María	PROPN	13	flat
15	Aznar	PROPN	13	flat
16	,	PUNCT	13	punct
17	en	ADP	19	case
18	la	DET	19	det
19	reunión	NOUN	3	obl
20	que	PRON	21	obj
21	mantuvieron	VERB	19	acl
22	en	ADP	24	case
23	el	DET	24	det
24	Palacio	PROPN	21	obl
25	de	ADP	27	case
26	la	DET	27	det
27	Moncloa	PROPN	24	flat
28	,	PUNCT	32	punct
29	en	ADP	31	case
30	la	DET	31	det
31	que	PRON	32	obl
32	hablaron	VERB	19	acl
33	,	PUNCT	34	punct
34	además	ADV	32	advmod
35	,	PUNCT	34	punct
36	sobre	ADP	37	case
37	infraestructuras	NOUN	32	obj
38	,	PUNCT	41	punct
39	como	ADP	41	case
40	el	DET	41	det
41	tren	NOUN	37	nmod
42	de	ADP	44	case
43	alta	ADJ	44	amod
44	velocidad	NOUN	41	nmod
45	a	ADP	46	case
46	Levante	PROPN	41	nmod
47	,	PUNCT	48	punct
48	financiación	NOUN	37	conj
49	autonómica	ADJ	48	amod
50	e	CCONJ	51	cc
51	inmigración	NOUN	37	conj
52	.	PUNCT	3	punct