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:
Con la conformidad de Catalunya, Valencia, Murcia y Andalucía a los trasvases de agua del Ebro, el Plan Hidrológico Nacional empieza a dar sus primeros pasos.
Postion	Tokenization
1	Con
2	la
3	conformidad
4	de
5	Catalunya
6	,
7	Valencia
8	,
9	Murcia
10	y
11	Andalucía
12	a
13	los
14	trasvases
15	de
16	agua
17	del
18	Ebro
19	,
20	el
21	Plan
22	Hidrológico
23	Nacional
24	empieza
25	a
26	dar
27	sus
28	primeros
29	pasos
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Con	ADP	3	case
2	la	DET	3	det
3	conformidad	NOUN	24	obl
4	de	ADP	5	case
5	Catalunya	PROPN	3	nmod
6	,	PUNCT	7	punct
7	Valencia	PROPN	5	conj
8	,	PUNCT	9	punct
9	Murcia	PROPN	5	conj
10	y	CCONJ	11	cc
11	Andalucía	PROPN	5	conj
12	a	ADP	14	case
13	los	DET	14	det
14	trasvases	NOUN	3	nmod
15	de	ADP	16	case
16	agua	NOUN	14	nmod
17	del	ADP	18	case
18	Ebro	PROPN	16	nmod
19	,	PUNCT	3	punct
20	el	DET	21	det
21	Plan	PROPN	24	nsubj
22	Hidrológico	PROPN	21	flat
23	Nacional	PROPN	21	flat
24	empieza	VERB	0	root
25	a	ADP	26	mark
26	dar	VERB	24	xcomp
27	sus	DET	29	det
28	primeros	ADJ	29	amod
29	pasos	NOUN	26	obj
30	.	PUNCT	24	punct