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 26 de abril, CiU vota con el PP en el Congreso un PHN que prevé sacar 1.050 hectómetros de agua del río.
Postion	Tokenization
1	El
2	26
3	de
4	abril
5	,
6	CiU
7	vota
8	con
9	el
10	PP
11	en
12	el
13	Congreso
14	un
15	PHN
16	que
17	prevé
18	sacar
19	1.050
20	hectómetros
21	de
22	agua
23	del
24	río
25	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	26	NUM	7	obl
3	de	ADP	4	case
4	abril	NOUN	2	compound
5	,	PUNCT	2	punct
6	CiU	PROPN	7	nsubj
7	vota	VERB	0	root
8	con	ADP	10	case
9	el	DET	10	det
10	PP	PROPN	7	obl
11	en	ADP	13	case
12	el	DET	13	det
13	Congreso	PROPN	7	obl
14	un	DET	15	det
15	PHN	PROPN	7	obj
16	que	PRON	17	nsubj
17	prevé	VERB	15	acl
18	sacar	VERB	17	xcomp
19	1.050	NUM	20	nummod
20	hectómetros	NOUN	18	obj
21	de	ADP	22	case
22	agua	NOUN	20	nmod
23	del	ADP	24	case
24	río	NOUN	18	obl
25	.	PUNCT	7	punct