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:
Los codos sobre los muslos, la cara entre las manos abiertas, el peso de la cabeza ocupada por el rostro en primer plano de la chica de la agencia de viajes de San Francisco.
Postion	Tokenization
1	Los
2	codos
3	sobre
4	los
5	muslos
6	,
7	la
8	cara
9	entre
10	las
11	manos
12	abiertas
13	,
14	el
15	peso
16	de
17	la
18	cabeza
19	ocupada
20	por
21	el
22	rostro
23	en
24	primer
25	plano
26	de
27	la
28	chica
29	de
30	la
31	agencia
32	de
33	viajes
34	de
35	San
36	Francisco
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	codos	NOUN	0	root
3	sobre	ADP	5	case
4	los	DET	5	det
5	muslos	NOUN	2	nmod
6	,	PUNCT	2	punct
7	la	DET	8	det
8	cara	NOUN	2	nmod
9	entre	ADP	11	case
10	las	DET	11	det
11	manos	NOUN	8	nmod
12	abiertas	ADJ	11	amod
13	,	PUNCT	2	punct
14	el	DET	15	det
15	peso	NOUN	2	nmod
16	de	ADP	18	case
17	la	DET	18	det
18	cabeza	NOUN	15	nmod
19	ocupada	ADJ	18	amod
20	por	ADP	22	case
21	el	DET	22	det
22	rostro	NOUN	19	obj
23	en	ADP	25	case
24	primer	ADJ	25	amod
25	plano	NOUN	22	nmod
26	de	ADP	28	case
27	la	DET	28	det
28	chica	NOUN	22	nmod
29	de	ADP	31	case
30	la	DET	31	det
31	agencia	NOUN	28	nmod
32	de	ADP	33	case
33	viajes	NOUN	31	nmod
34	de	ADP	35	case
35	San	PROPN	31	nmod
36	Francisco	PROPN	35	flat
37	.	PUNCT	2	punct