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:
Artur Mas y Felip Puig supeditan el voto al PHN a que el PP rebaje los 1.050 hectómetros que se pretenden extraer del Ebro.
Postion	Tokenization
1	Artur
2	Mas
3	y
4	Felip
5	Puig
6	supeditan
7	el
8	voto
9	al
10	PHN
11	a
12	que
13	el
14	PP
15	rebaje
16	los
17	1.050
18	hectómetros
19	que
20	se
21	pretenden
22	extraer
23	del
24	Ebro
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Artur	PROPN	6	nsubj
2	Mas	PROPN	1	flat
3	y	CCONJ	4	cc
4	Felip	PROPN	1	conj
5	Puig	PROPN	4	flat
6	supeditan	VERB	0	root
7	el	DET	8	det
8	voto	NOUN	6	iobj
9	al	ADP	10	case
10	PHN	PROPN	8	nmod
11	a	ADP	15	mark
12	que	SCONJ	15	mark
13	el	DET	14	det
14	PP	PROPN	15	nsubj
15	rebaje	VERB	6	ccomp
16	los	DET	17	det
17	1.050	NUM	18	nummod
18	hectómetros	NOUN	15	obj
19	que	PRON	21	obj
20	se	PRON	21	expl:pass
21	pretenden	VERB	18	acl
22	extraer	VERB	21	csubj
23	del	ADP	24	case
24	Ebro	PROPN	22	obl
25	.	PUNCT	6	punct