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:
Se había roto una cañería, la llave de paso parecía haberse soldado con su rosca y la cocina se inundaba por momentos.
Postion	Tokenization
1	Se
2	había
3	roto
4	una
5	cañería
6	,
7	la
8	llave
9	de
10	paso
11	parecía
12	haberse
13	haber
14	se
15	soldado
16	con
17	su
18	rosca
19	y
20	la
21	cocina
22	se
23	inundaba
24	por
25	momentos
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Se	PRON	3	expl:pv
2	había	AUX	3	aux
3	roto	VERB	0	root
4	una	DET	5	det
5	cañería	NOUN	3	nsubj
6	,	PUNCT	11	punct
7	la	DET	8	det
8	llave	NOUN	11	nsubj
9	de	ADP	10	case
10	paso	NOUN	8	nmod
11	parecía	VERB	3	advcl
12	haberse	_	None	_
13	haber	AUX	11	aux
14	se	PRON	11	expl:pass
15	soldado	VERB	11	xcomp
16	con	ADP	17	case
17	su	DET	17	det
18	rosca	NOUN	11	obl
19	y	CCONJ	22	cc
20	la	DET	20	det
21	cocina	NOUN	22	nsubj
22	se	PRON	22	expl:pv
23	inundaba	VERB	3	conj
24	por	ADP	24	case
25	momentos	NOUN	22	obl
26	.	PUNCT	3	punct