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:
We went through six photographers to find the right photographers that would represent our firm in the light we wished to and Michael and his team made that happen.
Postion	Tokenization
1	We
2	went
3	through
4	six
5	photographers
6	to
7	find
8	the
9	right
10	photographers
11	that
12	would
13	represent
14	our
15	firm
16	in
17	the
18	light
19	we
20	wished
21	to
22	and
23	Michael
24	and
25	his
26	team
27	made
28	that
29	happen
30	.
Position	Tokenization	UPOS	Head	Deprel
1	We	PRON	2	nsubj
2	went	VERB	0	root
3	through	ADP	5	case
4	six	NUM	5	nummod
5	photographers	NOUN	2	obl
6	to	PART	7	mark
7	find	VERB	2	advcl
8	the	DET	10	det
9	right	ADJ	10	amod
10	photographers	NOUN	7	obj
11	that	PRON	13	nsubj
12	would	AUX	13	aux
13	represent	VERB	10	acl:relcl
14	our	PRON	15	nmod:poss
15	firm	NOUN	13	obj
16	in	ADP	18	case
17	the	DET	18	det
18	light	NOUN	13	obl
19	we	PRON	20	nsubj
20	wished	VERB	18	acl:relcl
21	to	PART	20	xcomp
22	and	CCONJ	27	cc
23	Michael	PROPN	27	nsubj
24	and	CCONJ	26	cc
25	his	PRON	26	nmod:poss
26	team	NOUN	23	conj
27	made	VERB	2	conj
28	that	PRON	29	nsubj
29	happen	VERB	27	ccomp
30	.	PUNCT	2	punct