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:
Sangrar otra vez, como entonces, la vena de la anarquía para regar el árbol de la revolución en el que ya nadie cree.
Postion	Tokenization
1	Sangrar
2	otra
3	vez
4	,
5	como
6	entonces
7	,
8	la
9	vena
10	de
11	la
12	anarquía
13	para
14	regar
15	el
16	árbol
17	de
18	la
19	revolución
20	en
21	el
22	que
23	ya
24	nadie
25	cree
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Sangrar	VERB	0	root
2	otra	DET	3	det
3	vez	NOUN	1	obl
4	,	PUNCT	6	punct
5	como	SCONJ	6	mark
6	entonces	ADV	1	advmod
7	,	PUNCT	6	punct
8	la	DET	9	det
9	vena	NOUN	1	obj
10	de	ADP	12	case
11	la	DET	12	det
12	anarquía	NOUN	9	nmod
13	para	ADP	14	mark
14	regar	VERB	1	advcl
15	el	DET	16	det
16	árbol	NOUN	14	obj
17	de	ADP	19	case
18	la	DET	19	det
19	revolución	NOUN	16	nmod
20	en	ADP	22	case
21	el	DET	22	det
22	que	PRON	25	obj
23	ya	ADV	25	advmod
24	nadie	PRON	25	nsubj
25	cree	VERB	16	acl
26	.	PUNCT	1	punct